SlideShare uma empresa Scribd logo
1 de 38
Doppler Radar
From Josh Wurman
NCAR S-POL DOPPLER RADAR
Doppler Shift: A frequency shift that occurs in electromagnetic
waves due to the motion of scatterers toward or away from the
observer.
Doppler radar: A radar that can determine the frequency
shift through measurement of the phase change that occurs
in electromagnetic waves during a series of pulses.
Analogy: The Doppler shift for sound waves is the frequency shift that occurs as race
cars approach and then recede from a stationary observer
( ) ( )00 2cos φπ += tfEtE ttThe electric field of a transmitted wave
The returned electric field at some later
time back at the radar ( ) ( )( )11 2cos φπ +∆+= ttfEtE tt
The time it took to travel
c
r
t
2
=∆
Substituting: ( ) 





+





+= 11
2
2cos φπ
c
r
tfEtE tt
The received frequency can be determined by taking the time derivative if the
quantity in parentheses and dividing by 2π
dt
rt
t
t
ttr ff
c
vf
f
dt
dr
c
f
f
c
r
tf
dt
d
f +=+=+=





+





+=
222
2
2
1
1φπ
π
Sign conventions
The Doppler frequency is negative (lower frequency,
red shift) for objects receding from the radar
The Doppler frequency is positive (higher frequency,
blue shift) for objects approaching the radar
These “color” shift conventions are typically also used on radar
displays of Doppler velocity
Blue: Toward radar
Red: Receding from radar
Note that Doppler radars are only sensitive to the radial motion of objects
Air motion is a three dimensional vector: A Doppler radar can only measure one
of these three components – the motion along the beam toward or away from the radar
Magnitude of the Doppler Shift
Transmitted Frequency
X band C band S band
9.37 GHz 5.62 GHz 3.0 GHz
Radial velocity
1 m/s
10 m/s
50 m/s
62.5 Hz 37.5 Hz 20.0 Hz
625 Hz 375 Hz 200 Hz
3125 Hz 1876 Hz 1000 Hz
These frequency shifts are very small: for this reason, Doppler
radars must employ very stable transmitters and receivers
RECALL THE BLOCK DIAGRAM OF A DOPPLER RADAR AND THE
“PHASE DETECTOR”
)cos(
2
10
φω += t
AA
d
)sin(
2
10
φω += t
AA
d
2210
2
QI
AA
+=Amplitude determination:
Phase determination: 





=+ −
I
Q
d
1
tanφω
Typical period of Doppler frequency
df
1
= = 0.3 to 50 milliseconds
Typical pulse duration = 1 microsecond
Why is emphasis placed on phase determination instead of
determination of the Doppler frequency?
Only a very small fraction of a complete Doppler frequency cycle is contained within a pulse
Alternate approach: one samples the Doppler-shifted echo
with a train of pulses and tries to reconstruct, or estimate,
the Doppler frequency from the phase change that occurs
between pulses.
rrvTd =
λπ
φφ rrvT2
2
12
=




 −





 −
=
π
φφλ
22
12
r
r
T
v
We can understand how the phase shift can be related to the radial
velocity by considering a single target moving radially.
Distance target moves radially in one pulse period Tr
The corresponding phase shift of a wave between two
Consecutive pulses (twice (out and back) the fraction
of a wavelength traversed between two consecutive
pulses)
Solving for the radial velocity
In practice, the pulse volume contains billions of targets moving at
different radial speeds and an average phase shift must be
determined from a train of pulses
(1)
Illustration of the reconstruction of the Doppler
frequency from sampled phase values
Dots correspond to the measured samples of phase φ
PROBLEM
More than one Doppler frequency (radial velocity) will always
exist that can fit a finite sample of phase values.
The radial velocity determined from the sampled
phase values is not unique





 ∆
=
π
φλ
22 r
r
T
v
π
λ
π
φ <=∆ rrTv4
max
42
v
F
T
v
r
r ===
λλ
What is the maximum radial velocity possible before
ambiguity in the measurement of velocity occurs?
From (1)
The phase change between pulses must therefore be less than half a wavelength
We need at least two measurements per wavelength to determine a frequency
 vmax is called the Nyquist velocity and represents the maximum (or
minimum) radial velocity a Doppler radar can measure unambiguously – true
velocities larger or smaller than this value will be “folded” back into the
unambiguous range
EXAMPLE VALUES OF THE MAXIMUM
UNAMBIGUOUS DOPPLER VELOCITY
Wavelength Radar PRF (s-1
)
cm 200 500 1000 2000
3 1.5 3.75 7.5 15
5 2.5 6.25 12.5 25
10 5.0 12.5 25.0 50
Table shows that Doppler radars capable of measuring a
large range of velocities unambiguously have long
wavelength and operate at high PRF
Folded velocities
Can you find the folded velocities in this image?
http://apollo.lsc.vsc.edu/classes/remote/graphics/airborne_radar_images/newcastle_folded.gif
Folded velocities in an RHI Velocities after unfolding
F
c
r
2
max =
8
maxmax
λc
vr =
But recall that for a large unambiguous RANGE
Doppler radars must operate at a low PRF
4
max
F
v
λ
=
THE DOPPLER DILEMA: A GOOD CHOICE OF PRF TO ACHIEVE A
LARGE UNAMBIGUOUS RANGE WILL BE A POOR CHOICE TO
ACHIEVE A LARGE UNAMBIGUOUS VELOCITY
The Doppler Dilema
Ways to circumvent the ambiguity dilema
1. “Bursts” of pulses at alternating low and high pulse repetition frequencies
Measure reflectivity Measure velocity
Low PRF used to measure to long range, high PRF to measure velocity
max2
2
nv
f
V d
r ±=
λ
max2
2
vn
f
V d
r
′′±
′
=
λ
( )maxmax
4
nvvnff dd −′′±=′−
λ
( )nFFnff dd −′′±=′−
2. Use slightly different PRFs in alternating sequence
For 1st
PRF
For 2nd
PRF
Solve simultaneously
Example: λ = 5.33 cm, F = 900 s-1
, F′ = 1200 s-1 1
max 12
4
−
== ms
F
v
λ 1
max 16
4
−
=
′
=′ ms
F
v
λ
MEASURE fd = -150 hz, f′d = 450 hz
( )nn 9001200300 −′±=
1==′ nn Data is folded once
Real characteristics of a returned signal from a distributed target
Velocity of individual targets in contributing volume vary due to:
1) Wind shear (particularly in the vertical)
2) Turbulence
3) Differential fall velocity (particularly at high elevation angles)
4) Antenna rotation
5) Variation in refraction of microwave wavefronts
NET RESULT: A series of pulses will measure a
spectrum of velocities (Doppler frequencies)
Power per unit velocity interval (db)
( ) ( )dvvSdffSP
v
v
rdr ∫∫
+
−
∞
∞−
==
max
max
( )
( )
( )
r
v
v
r
v
v
r
v
v
r
r
P
dvvvS
dvvS
dvvvS
v
∫
∫
∫
+
−
+
−
+
−
==
max
max
max
max
max
max
( ) ( )
( )
( ) ( )
r
v
v
rr
v
v
r
v
v
rr
v
P
dvvSvv
dvvS
dvvSvv ∫
∫
∫
+
−
+
−
+
−
−
=
−
=
max
max
max
max
max
max
22
2
σ
The moments, or integral properties, of the Doppler Spectrum
Average returned power
Mean radial velocity
Spectral width
Example of Doppler spectra
As a function of altitude
measured in a winter
snowband. These spectra
were measured with a
vertically pointing Doppler
profiler with a rather wide (9
degree) beamwidth
Note ground clutter
Melting level
The Doppler spectrum represents the echo from a single contributing region
Mean Doppler frequency (or velocity) Related to the reflectivity weighted mean
radial motion of the particles
Spectral width Related to the relative particle motions
RECALL: Fluctuations in mean power from pulse to pulse occur due
to interference effects as the returned EM waves superimpose upon
one another.
Fluctuations are due to the relative motion of the particles
between pulses and therefore to the spectral width
Effects of relative particle motion:
Consider two particles in a pulse volume
Return from 1: ( ) ( )[ ]1111 cos φωω ++= tEtE D
Return from 2: ( ) ( )[ ]2222 cos φωω ++= tEtE D
tfπω 2=
λ
π
ω 2,1
2,1
4 r
D
v
−=
Where:
Total Echo power proportional to sum of two fields squared
With a bit of trigonometry….
( ) ( ) ( ) ( ) ( ) ( )[ ]ttEtEtE DD 11121 sinsincoscos ωαωα −=+
( ) ( ) ( ) ( )[ ]ttE DD 112 sinsincoscos ωβωβ −+
Where: 1φωα += t 2φωβ += t
( )[ ]2121
2
2
2
1
cos
22
DDr EE
EE
P ωω −++∝
Constant term Term which depends on particles relative velocities and wavelength
For a large ensemble of particles
( )[ ]∑∑∑ −+∝
j
DjDi
ii
i
r EE
E
P ωωcos
2
21
2
To determine the echo power, one must average over a
large enough independent samples that the second term
averages to zero
HOWEVER!!
To determine the Doppler frequency (and velocity) from
consecutive measurements of echo phase, the samples must
be DEPENDENT (more frequent) than those required to
obtain the desired resolution in reflectivity
Determining the Doppler Spectrum
1. Doppler spectrum is measured at a particular range gate (e.g. at )
2
tc
r
∆
=
2. Must process a time series of discrete samples of echo Er(t) at intervals
of the pulse period Tr
3. Analyze the sampled signal using (fast) Fourier Transform methods:
( ) [ ]r
M
m
r mTkfkfF
M
mTE 0
1
0
0 2cos
1
)( π∑
−
=
=
( ) [ ]r
M
m
rr mTkfmTEkfF 0
1
0
0 2cos)( π∑
−
=
=
4. Frequency components (radial velocities) occur at discrete intervals, with M
intervals separated by intervals of 1/MTr = fD
M = # of samples
f0 = frequency resolution
Discrete Doppler spectra
computed for a point
target, with M = 8. Dots
represent the discrete
frequency components of
the spectra.
Point target, M = 8
fD = 2 f0
Point target, M = 8
fD = 2.5 f0
Signal appear in all M lines
of the spectrum
If Doppler frequency is not an
integral multiple of the
frequency resolution (normally
not the case), the discrete
Fourier transform will “smear”
power into all of the frequencies
across the spectrum.
With a distributed target, which has a spectrum of Doppler frequencies, the
discrete Fourier transform will always produce power in all frequencies.
The power will be relatively uniform at frequencies not associated with the true
Doppler frequencies, and peak across the range of true Doppler frequencies.
Noise NoiseSignal
In most applications (such as the operational NEXRADs), the Doppler
spectra are not needed.
Recording the entire Doppler spectra at each range gate takes an
enormous amount of data storage capability, quickly exceeding the
capacity of current electronic storage devices.
What are needed are the moments of the spectra – the average
returned power, the mean Doppler velocity, and the spectral width
How can the moments be obtained from the series of discrete samples?
1. Record time series at each range gate and Fourier analyze Doppler
Spectra. Calculate the moments. Discard Spectral data.
(Computationally inefficient, given that these calculations must be
done for every range gate on every beam!
or…
2. Calculate moments as the time series is recorded using the
Autocorrelation function (see below), and discard data continuously
following the calculation (little data storage required and
computationally efficient)
Problems complicating process:
1. Noise
2. Folding
3. Clutter
Tends to bias Vr to 0
and spectral width to vmax/3
)cos(
2
10
φω += t
AA
d
)sin(
2
10
φω += t
AA
d
2210
2
QI
AA
+=Amplitude determination:
Phase determination: 





=+ −
I
Q
d
1
tanφω
RECALL THE PHASE
DETECTOR IN A
DOPPLER RADAR
SYSTEM
Sample of I/Q channel voltage at time 1:
( )[ ]1
10
1 exp
2
φω += ti
AA
R D
Sample of I/Q channel voltage at time 2:
( )[ ]2
20
2 exp
2
φω += ti
AA
R D
Autocorrelation function:
( )[ ]12
21
2
0*
21 exp
4
φφ −= i
AAA
RR
*
1
1
1
+
=
∑= n
M
n
n RR
M
C
2
10 AA
2
10 AA
Amplitude
ωd
φ1
Representation of
I/Q signal on a phase
Diagram in complex
space
φ2−φ1
φ3−φ2
φ4−φ3
φ5−φ4
4
21
2
0 AAA
4
32
2
0 AAA
4
43
2
0 AAA
4
54
2
0 AAA
Graphical depiction of how average amplitude (returned power)
And phase (radial velocity) are recovered from autocorrelation function
The spectral width can also be recovered from autocorrelation function

Mais conteúdo relacionado

Mais procurados

Radar 2009 a 11 waveforms and pulse compression
Radar 2009 a 11 waveforms and pulse compressionRadar 2009 a 11 waveforms and pulse compression
Radar 2009 a 11 waveforms and pulse compressionForward2025
 
introduction to radar
 introduction to radar introduction to radar
introduction to radarabdulrehmanali
 
Principles of RADAR Systems
Principles of RADAR SystemsPrinciples of RADAR Systems
Principles of RADAR Systemsjanakiravi
 
1 radar signal processing
1 radar signal processing1 radar signal processing
1 radar signal processingSolo Hermelin
 
10 range and doppler measurements in radar systems
10 range and doppler measurements in radar systems10 range and doppler measurements in radar systems
10 range and doppler measurements in radar systemsSolo Hermelin
 
Components of a Pulse Radar System
Components of a Pulse Radar SystemComponents of a Pulse Radar System
Components of a Pulse Radar SystemÜlger Ahmet
 
Study of Radar System PPT
Study of Radar System PPTStudy of Radar System PPT
Study of Radar System PPTAtul Sharma
 
Introduction to radar
Introduction to radarIntroduction to radar
Introduction to radarUlsah T N
 
microwave communication
microwave communicationmicrowave communication
microwave communicationATTO RATHORE
 
1 radar basic -part i 1
1 radar basic -part i 11 radar basic -part i 1
1 radar basic -part i 1Solo Hermelin
 
Radar 2009 a 6 detection of signals in noise
Radar 2009 a 6 detection of signals in noiseRadar 2009 a 6 detection of signals in noise
Radar 2009 a 6 detection of signals in noiseForward2025
 
Chapter 3- pulsed radar system and MTI
Chapter 3- pulsed radar system and MTIChapter 3- pulsed radar system and MTI
Chapter 3- pulsed radar system and MTIRima Assaf
 
Radar Systems- Unit-III : MTI and Pulse Doppler Radars
Radar Systems- Unit-III : MTI and Pulse Doppler RadarsRadar Systems- Unit-III : MTI and Pulse Doppler Radars
Radar Systems- Unit-III : MTI and Pulse Doppler RadarsVenkataRatnam14
 

Mais procurados (20)

Radar 2009 a 11 waveforms and pulse compression
Radar 2009 a 11 waveforms and pulse compressionRadar 2009 a 11 waveforms and pulse compression
Radar 2009 a 11 waveforms and pulse compression
 
Cw and fm cw radar
Cw and fm cw radarCw and fm cw radar
Cw and fm cw radar
 
introduction to radar
 introduction to radar introduction to radar
introduction to radar
 
Principles of RADAR Systems
Principles of RADAR SystemsPrinciples of RADAR Systems
Principles of RADAR Systems
 
1 radar signal processing
1 radar signal processing1 radar signal processing
1 radar signal processing
 
10 range and doppler measurements in radar systems
10 range and doppler measurements in radar systems10 range and doppler measurements in radar systems
10 range and doppler measurements in radar systems
 
Radar presentation
Radar presentation Radar presentation
Radar presentation
 
Components of a Pulse Radar System
Components of a Pulse Radar SystemComponents of a Pulse Radar System
Components of a Pulse Radar System
 
Tracking Radar
Tracking RadarTracking Radar
Tracking Radar
 
Study of Radar System PPT
Study of Radar System PPTStudy of Radar System PPT
Study of Radar System PPT
 
Introduction to radar
Introduction to radarIntroduction to radar
Introduction to radar
 
RADAR
RADARRADAR
RADAR
 
Pulse Doppler Radar
Pulse Doppler RadarPulse Doppler Radar
Pulse Doppler Radar
 
microwave communication
microwave communicationmicrowave communication
microwave communication
 
1 radar basic -part i 1
1 radar basic -part i 11 radar basic -part i 1
1 radar basic -part i 1
 
Radar 2009 a 6 detection of signals in noise
Radar 2009 a 6 detection of signals in noiseRadar 2009 a 6 detection of signals in noise
Radar 2009 a 6 detection of signals in noise
 
Chapter 3- pulsed radar system and MTI
Chapter 3- pulsed radar system and MTIChapter 3- pulsed radar system and MTI
Chapter 3- pulsed radar system and MTI
 
Report on radar
Report on radarReport on radar
Report on radar
 
Radar Systems- Unit-III : MTI and Pulse Doppler Radars
Radar Systems- Unit-III : MTI and Pulse Doppler RadarsRadar Systems- Unit-III : MTI and Pulse Doppler Radars
Radar Systems- Unit-III : MTI and Pulse Doppler Radars
 
satellite communication- UNIT-III.pptx
satellite communication- UNIT-III.pptxsatellite communication- UNIT-III.pptx
satellite communication- UNIT-III.pptx
 

Destaque

Pulse Doppler Effect
Pulse Doppler EffectPulse Doppler Effect
Pulse Doppler EffectTariq kanher
 
Doppler weather radar
Doppler weather radarDoppler weather radar
Doppler weather radarPawankumarm65
 
Doppler Effect and Blueshift and Redshift
Doppler Effect and Blueshift and RedshiftDoppler Effect and Blueshift and Redshift
Doppler Effect and Blueshift and Redshiftlily rosemary masilang
 
Doppler Effect - Red Shift
Doppler Effect - Red ShiftDoppler Effect - Red Shift
Doppler Effect - Red Shiftdwinter1
 
Transmission impairments
Transmission impairmentsTransmission impairments
Transmission impairmentsavocado1111
 
Transmission impairments
Transmission impairmentsTransmission impairments
Transmission impairmentsOnline
 
Radar 2009 a 14 airborne pulse doppler radar
Radar 2009 a 14 airborne pulse doppler radarRadar 2009 a 14 airborne pulse doppler radar
Radar 2009 a 14 airborne pulse doppler radarForward2025
 
Transmission Impairment
Transmission ImpairmentTransmission Impairment
Transmission ImpairmentTaaanu01
 
DOPPLER EFFECT
DOPPLER EFFECTDOPPLER EFFECT
DOPPLER EFFECTKANNAN
 
Principle of FMCW radar
Principle of FMCW radarPrinciple of FMCW radar
Principle of FMCW radartobiasotto
 

Destaque (14)

Pulse Doppler Effect
Pulse Doppler EffectPulse Doppler Effect
Pulse Doppler Effect
 
Doppler weather radar
Doppler weather radarDoppler weather radar
Doppler weather radar
 
Doppler Effect and Blueshift and Redshift
Doppler Effect and Blueshift and RedshiftDoppler Effect and Blueshift and Redshift
Doppler Effect and Blueshift and Redshift
 
Doppler Effect - Red Shift
Doppler Effect - Red ShiftDoppler Effect - Red Shift
Doppler Effect - Red Shift
 
Fading & Doppler Effect
Fading & Doppler EffectFading & Doppler Effect
Fading & Doppler Effect
 
Transmission impairments
Transmission impairmentsTransmission impairments
Transmission impairments
 
Transmission impairments
Transmission impairmentsTransmission impairments
Transmission impairments
 
Radar 2009 a 14 airborne pulse doppler radar
Radar 2009 a 14 airborne pulse doppler radarRadar 2009 a 14 airborne pulse doppler radar
Radar 2009 a 14 airborne pulse doppler radar
 
Transmission Impairment
Transmission ImpairmentTransmission Impairment
Transmission Impairment
 
Doppler effect
Doppler effectDoppler effect
Doppler effect
 
DOPPLER EFFECT
DOPPLER EFFECTDOPPLER EFFECT
DOPPLER EFFECT
 
Doppler effect
Doppler effectDoppler effect
Doppler effect
 
Doppler shift
Doppler shiftDoppler shift
Doppler shift
 
Principle of FMCW radar
Principle of FMCW radarPrinciple of FMCW radar
Principle of FMCW radar
 

Semelhante a Doppler radar

synthetic aperture radar
synthetic aperture radarsynthetic aperture radar
synthetic aperture radarAmit Rastogi
 
wireless communications
wireless communications wireless communications
wireless communications faisalsaad18
 
A New Underwater Acoustic Navigation Method Based on the Doppler Principle
A New Underwater Acoustic Navigation Method Based on the Doppler PrincipleA New Underwater Acoustic Navigation Method Based on the Doppler Principle
A New Underwater Acoustic Navigation Method Based on the Doppler PrincipleNooria Sukmaningtyas
 
Speech signal time frequency representation
Speech signal time frequency representationSpeech signal time frequency representation
Speech signal time frequency representationNikolay Karpov
 
RiseFalltime031114.pptx
RiseFalltime031114.pptxRiseFalltime031114.pptx
RiseFalltime031114.pptxVignesh899811
 
microwave-communication-wave-guides
microwave-communication-wave-guidesmicrowave-communication-wave-guides
microwave-communication-wave-guidesATTO RATHORE
 
1-Wang-FR1020-IGARSS11.pptx
1-Wang-FR1020-IGARSS11.pptx1-Wang-FR1020-IGARSS11.pptx
1-Wang-FR1020-IGARSS11.pptxgrssieee
 
LOW,MEDIUM,HIGH_Doppler_MTI.pdf
LOW,MEDIUM,HIGH_Doppler_MTI.pdfLOW,MEDIUM,HIGH_Doppler_MTI.pdf
LOW,MEDIUM,HIGH_Doppler_MTI.pdfFirstknightPhyo
 
RADAR MEASUREMENTS LECTURE EECS BERKELY!
RADAR MEASUREMENTS LECTURE EECS BERKELY!RADAR MEASUREMENTS LECTURE EECS BERKELY!
RADAR MEASUREMENTS LECTURE EECS BERKELY!nagatic941
 
LOW,MEDIUM,HIGH_Doppler_MTI.pptx
LOW,MEDIUM,HIGH_Doppler_MTI.pptxLOW,MEDIUM,HIGH_Doppler_MTI.pptx
LOW,MEDIUM,HIGH_Doppler_MTI.pptxFirstknightPhyo
 
Slide Handouts with Notes
Slide Handouts with NotesSlide Handouts with Notes
Slide Handouts with NotesLeon Nguyen
 
Rappaport Chapter5-smallscalefading.pdf
Rappaport Chapter5-smallscalefading.pdfRappaport Chapter5-smallscalefading.pdf
Rappaport Chapter5-smallscalefading.pdfRasheedKhan69
 
Small scale fading
Small scale fading Small scale fading
Small scale fading Hardik_Tank
 
DSP_2018_FOEHU - Lec 08 - The Discrete Fourier Transform
DSP_2018_FOEHU - Lec 08 - The Discrete Fourier TransformDSP_2018_FOEHU - Lec 08 - The Discrete Fourier Transform
DSP_2018_FOEHU - Lec 08 - The Discrete Fourier TransformAmr E. Mohamed
 
chandra shekhar_Unit 2 _Radar_ feb 4 2016
chandra shekhar_Unit 2 _Radar_ feb 4 2016chandra shekhar_Unit 2 _Radar_ feb 4 2016
chandra shekhar_Unit 2 _Radar_ feb 4 2016CHANDRA SHEKHAR
 
Time reversed acoustics - Mathias Fink
Time reversed acoustics - Mathias FinkTime reversed acoustics - Mathias Fink
Time reversed acoustics - Mathias FinkSébastien Popoff
 

Semelhante a Doppler radar (20)

synthetic aperture radar
synthetic aperture radarsynthetic aperture radar
synthetic aperture radar
 
Kanal wireless dan propagasi
Kanal wireless dan propagasiKanal wireless dan propagasi
Kanal wireless dan propagasi
 
wireless communications
wireless communications wireless communications
wireless communications
 
A New Underwater Acoustic Navigation Method Based on the Doppler Principle
A New Underwater Acoustic Navigation Method Based on the Doppler PrincipleA New Underwater Acoustic Navigation Method Based on the Doppler Principle
A New Underwater Acoustic Navigation Method Based on the Doppler Principle
 
Speech signal time frequency representation
Speech signal time frequency representationSpeech signal time frequency representation
Speech signal time frequency representation
 
RiseFalltime031114.pptx
RiseFalltime031114.pptxRiseFalltime031114.pptx
RiseFalltime031114.pptx
 
PresentationSAR
PresentationSARPresentationSAR
PresentationSAR
 
microwave-communication-wave-guides
microwave-communication-wave-guidesmicrowave-communication-wave-guides
microwave-communication-wave-guides
 
1-Wang-FR1020-IGARSS11.pptx
1-Wang-FR1020-IGARSS11.pptx1-Wang-FR1020-IGARSS11.pptx
1-Wang-FR1020-IGARSS11.pptx
 
LOW,MEDIUM,HIGH_Doppler_MTI.pdf
LOW,MEDIUM,HIGH_Doppler_MTI.pdfLOW,MEDIUM,HIGH_Doppler_MTI.pdf
LOW,MEDIUM,HIGH_Doppler_MTI.pdf
 
RADAR MEASUREMENTS LECTURE EECS BERKELY!
RADAR MEASUREMENTS LECTURE EECS BERKELY!RADAR MEASUREMENTS LECTURE EECS BERKELY!
RADAR MEASUREMENTS LECTURE EECS BERKELY!
 
LOW,MEDIUM,HIGH_Doppler_MTI.pptx
LOW,MEDIUM,HIGH_Doppler_MTI.pptxLOW,MEDIUM,HIGH_Doppler_MTI.pptx
LOW,MEDIUM,HIGH_Doppler_MTI.pptx
 
6Aesa7.ppt
6Aesa7.ppt6Aesa7.ppt
6Aesa7.ppt
 
Slide Handouts with Notes
Slide Handouts with NotesSlide Handouts with Notes
Slide Handouts with Notes
 
Rappaport Chapter5-smallscalefading.pdf
Rappaport Chapter5-smallscalefading.pdfRappaport Chapter5-smallscalefading.pdf
Rappaport Chapter5-smallscalefading.pdf
 
Small scale fading
Small scale fading Small scale fading
Small scale fading
 
DSP_2018_FOEHU - Lec 08 - The Discrete Fourier Transform
DSP_2018_FOEHU - Lec 08 - The Discrete Fourier TransformDSP_2018_FOEHU - Lec 08 - The Discrete Fourier Transform
DSP_2018_FOEHU - Lec 08 - The Discrete Fourier Transform
 
chandra shekhar_Unit 2 _Radar_ feb 4 2016
chandra shekhar_Unit 2 _Radar_ feb 4 2016chandra shekhar_Unit 2 _Radar_ feb 4 2016
chandra shekhar_Unit 2 _Radar_ feb 4 2016
 
Doppler
DopplerDoppler
Doppler
 
Time reversed acoustics - Mathias Fink
Time reversed acoustics - Mathias FinkTime reversed acoustics - Mathias Fink
Time reversed acoustics - Mathias Fink
 

Último

Causes of poverty in France presentation.pptx
Causes of poverty in France presentation.pptxCauses of poverty in France presentation.pptx
Causes of poverty in France presentation.pptxCamilleBoulbin1
 
Dreaming Music Video Treatment _ Project & Portfolio III
Dreaming Music Video Treatment _ Project & Portfolio IIIDreaming Music Video Treatment _ Project & Portfolio III
Dreaming Music Video Treatment _ Project & Portfolio IIINhPhngng3
 
If this Giant Must Walk: A Manifesto for a New Nigeria
If this Giant Must Walk: A Manifesto for a New NigeriaIf this Giant Must Walk: A Manifesto for a New Nigeria
If this Giant Must Walk: A Manifesto for a New NigeriaKayode Fayemi
 
No Advance 8868886958 Chandigarh Call Girls , Indian Call Girls For Full Nigh...
No Advance 8868886958 Chandigarh Call Girls , Indian Call Girls For Full Nigh...No Advance 8868886958 Chandigarh Call Girls , Indian Call Girls For Full Nigh...
No Advance 8868886958 Chandigarh Call Girls , Indian Call Girls For Full Nigh...Sheetaleventcompany
 
Thirunelveli call girls Tamil escorts 7877702510
Thirunelveli call girls Tamil escorts 7877702510Thirunelveli call girls Tamil escorts 7877702510
Thirunelveli call girls Tamil escorts 7877702510Vipesco
 
SaaStr Workshop Wednesday w/ Lucas Price, Yardstick
SaaStr Workshop Wednesday w/ Lucas Price, YardstickSaaStr Workshop Wednesday w/ Lucas Price, Yardstick
SaaStr Workshop Wednesday w/ Lucas Price, Yardsticksaastr
 
Introduction to Prompt Engineering (Focusing on ChatGPT)
Introduction to Prompt Engineering (Focusing on ChatGPT)Introduction to Prompt Engineering (Focusing on ChatGPT)
Introduction to Prompt Engineering (Focusing on ChatGPT)Chameera Dedduwage
 
lONG QUESTION ANSWER PAKISTAN STUDIES10.
lONG QUESTION ANSWER PAKISTAN STUDIES10.lONG QUESTION ANSWER PAKISTAN STUDIES10.
lONG QUESTION ANSWER PAKISTAN STUDIES10.lodhisaajjda
 
The workplace ecosystem of the future 24.4.2024 Fabritius_share ii.pdf
The workplace ecosystem of the future 24.4.2024 Fabritius_share ii.pdfThe workplace ecosystem of the future 24.4.2024 Fabritius_share ii.pdf
The workplace ecosystem of the future 24.4.2024 Fabritius_share ii.pdfSenaatti-kiinteistöt
 
Bring back lost lover in USA, Canada ,Uk ,Australia ,London Lost Love Spell C...
Bring back lost lover in USA, Canada ,Uk ,Australia ,London Lost Love Spell C...Bring back lost lover in USA, Canada ,Uk ,Australia ,London Lost Love Spell C...
Bring back lost lover in USA, Canada ,Uk ,Australia ,London Lost Love Spell C...amilabibi1
 
AWS Data Engineer Associate (DEA-C01) Exam Dumps 2024.pdf
AWS Data Engineer Associate (DEA-C01) Exam Dumps 2024.pdfAWS Data Engineer Associate (DEA-C01) Exam Dumps 2024.pdf
AWS Data Engineer Associate (DEA-C01) Exam Dumps 2024.pdfSkillCertProExams
 
Air breathing and respiratory adaptations in diver animals
Air breathing and respiratory adaptations in diver animalsAir breathing and respiratory adaptations in diver animals
Air breathing and respiratory adaptations in diver animalsaqsarehman5055
 
Report Writing Webinar Training
Report Writing Webinar TrainingReport Writing Webinar Training
Report Writing Webinar TrainingKylaCullinane
 
Busty Desi⚡Call Girls in Sector 51 Noida Escorts >༒8448380779 Escort Service-...
Busty Desi⚡Call Girls in Sector 51 Noida Escorts >༒8448380779 Escort Service-...Busty Desi⚡Call Girls in Sector 51 Noida Escorts >༒8448380779 Escort Service-...
Busty Desi⚡Call Girls in Sector 51 Noida Escorts >༒8448380779 Escort Service-...Delhi Call girls
 
Uncommon Grace The Autobiography of Isaac Folorunso
Uncommon Grace The Autobiography of Isaac FolorunsoUncommon Grace The Autobiography of Isaac Folorunso
Uncommon Grace The Autobiography of Isaac FolorunsoKayode Fayemi
 
Dreaming Marissa Sánchez Music Video Treatment
Dreaming Marissa Sánchez Music Video TreatmentDreaming Marissa Sánchez Music Video Treatment
Dreaming Marissa Sánchez Music Video Treatmentnswingard
 
BDSM⚡Call Girls in Sector 93 Noida Escorts >༒8448380779 Escort Service
BDSM⚡Call Girls in Sector 93 Noida Escorts >༒8448380779 Escort ServiceBDSM⚡Call Girls in Sector 93 Noida Escorts >༒8448380779 Escort Service
BDSM⚡Call Girls in Sector 93 Noida Escorts >༒8448380779 Escort ServiceDelhi Call girls
 
Sector 62, Noida Call girls :8448380779 Noida Escorts | 100% verified
Sector 62, Noida Call girls :8448380779 Noida Escorts | 100% verifiedSector 62, Noida Call girls :8448380779 Noida Escorts | 100% verified
Sector 62, Noida Call girls :8448380779 Noida Escorts | 100% verifiedDelhi Call girls
 
BDSM⚡Call Girls in Sector 97 Noida Escorts >༒8448380779 Escort Service
BDSM⚡Call Girls in Sector 97 Noida Escorts >༒8448380779 Escort ServiceBDSM⚡Call Girls in Sector 97 Noida Escorts >༒8448380779 Escort Service
BDSM⚡Call Girls in Sector 97 Noida Escorts >༒8448380779 Escort ServiceDelhi Call girls
 

Último (20)

Causes of poverty in France presentation.pptx
Causes of poverty in France presentation.pptxCauses of poverty in France presentation.pptx
Causes of poverty in France presentation.pptx
 
Dreaming Music Video Treatment _ Project & Portfolio III
Dreaming Music Video Treatment _ Project & Portfolio IIIDreaming Music Video Treatment _ Project & Portfolio III
Dreaming Music Video Treatment _ Project & Portfolio III
 
If this Giant Must Walk: A Manifesto for a New Nigeria
If this Giant Must Walk: A Manifesto for a New NigeriaIf this Giant Must Walk: A Manifesto for a New Nigeria
If this Giant Must Walk: A Manifesto for a New Nigeria
 
No Advance 8868886958 Chandigarh Call Girls , Indian Call Girls For Full Nigh...
No Advance 8868886958 Chandigarh Call Girls , Indian Call Girls For Full Nigh...No Advance 8868886958 Chandigarh Call Girls , Indian Call Girls For Full Nigh...
No Advance 8868886958 Chandigarh Call Girls , Indian Call Girls For Full Nigh...
 
Thirunelveli call girls Tamil escorts 7877702510
Thirunelveli call girls Tamil escorts 7877702510Thirunelveli call girls Tamil escorts 7877702510
Thirunelveli call girls Tamil escorts 7877702510
 
SaaStr Workshop Wednesday w/ Lucas Price, Yardstick
SaaStr Workshop Wednesday w/ Lucas Price, YardstickSaaStr Workshop Wednesday w/ Lucas Price, Yardstick
SaaStr Workshop Wednesday w/ Lucas Price, Yardstick
 
Introduction to Prompt Engineering (Focusing on ChatGPT)
Introduction to Prompt Engineering (Focusing on ChatGPT)Introduction to Prompt Engineering (Focusing on ChatGPT)
Introduction to Prompt Engineering (Focusing on ChatGPT)
 
lONG QUESTION ANSWER PAKISTAN STUDIES10.
lONG QUESTION ANSWER PAKISTAN STUDIES10.lONG QUESTION ANSWER PAKISTAN STUDIES10.
lONG QUESTION ANSWER PAKISTAN STUDIES10.
 
The workplace ecosystem of the future 24.4.2024 Fabritius_share ii.pdf
The workplace ecosystem of the future 24.4.2024 Fabritius_share ii.pdfThe workplace ecosystem of the future 24.4.2024 Fabritius_share ii.pdf
The workplace ecosystem of the future 24.4.2024 Fabritius_share ii.pdf
 
Bring back lost lover in USA, Canada ,Uk ,Australia ,London Lost Love Spell C...
Bring back lost lover in USA, Canada ,Uk ,Australia ,London Lost Love Spell C...Bring back lost lover in USA, Canada ,Uk ,Australia ,London Lost Love Spell C...
Bring back lost lover in USA, Canada ,Uk ,Australia ,London Lost Love Spell C...
 
AWS Data Engineer Associate (DEA-C01) Exam Dumps 2024.pdf
AWS Data Engineer Associate (DEA-C01) Exam Dumps 2024.pdfAWS Data Engineer Associate (DEA-C01) Exam Dumps 2024.pdf
AWS Data Engineer Associate (DEA-C01) Exam Dumps 2024.pdf
 
Air breathing and respiratory adaptations in diver animals
Air breathing and respiratory adaptations in diver animalsAir breathing and respiratory adaptations in diver animals
Air breathing and respiratory adaptations in diver animals
 
Report Writing Webinar Training
Report Writing Webinar TrainingReport Writing Webinar Training
Report Writing Webinar Training
 
Busty Desi⚡Call Girls in Sector 51 Noida Escorts >༒8448380779 Escort Service-...
Busty Desi⚡Call Girls in Sector 51 Noida Escorts >༒8448380779 Escort Service-...Busty Desi⚡Call Girls in Sector 51 Noida Escorts >༒8448380779 Escort Service-...
Busty Desi⚡Call Girls in Sector 51 Noida Escorts >༒8448380779 Escort Service-...
 
ICT role in 21st century education and it's challenges.pdf
ICT role in 21st century education and it's challenges.pdfICT role in 21st century education and it's challenges.pdf
ICT role in 21st century education and it's challenges.pdf
 
Uncommon Grace The Autobiography of Isaac Folorunso
Uncommon Grace The Autobiography of Isaac FolorunsoUncommon Grace The Autobiography of Isaac Folorunso
Uncommon Grace The Autobiography of Isaac Folorunso
 
Dreaming Marissa Sánchez Music Video Treatment
Dreaming Marissa Sánchez Music Video TreatmentDreaming Marissa Sánchez Music Video Treatment
Dreaming Marissa Sánchez Music Video Treatment
 
BDSM⚡Call Girls in Sector 93 Noida Escorts >༒8448380779 Escort Service
BDSM⚡Call Girls in Sector 93 Noida Escorts >༒8448380779 Escort ServiceBDSM⚡Call Girls in Sector 93 Noida Escorts >༒8448380779 Escort Service
BDSM⚡Call Girls in Sector 93 Noida Escorts >༒8448380779 Escort Service
 
Sector 62, Noida Call girls :8448380779 Noida Escorts | 100% verified
Sector 62, Noida Call girls :8448380779 Noida Escorts | 100% verifiedSector 62, Noida Call girls :8448380779 Noida Escorts | 100% verified
Sector 62, Noida Call girls :8448380779 Noida Escorts | 100% verified
 
BDSM⚡Call Girls in Sector 97 Noida Escorts >༒8448380779 Escort Service
BDSM⚡Call Girls in Sector 97 Noida Escorts >༒8448380779 Escort ServiceBDSM⚡Call Girls in Sector 97 Noida Escorts >༒8448380779 Escort Service
BDSM⚡Call Girls in Sector 97 Noida Escorts >༒8448380779 Escort Service
 

Doppler radar

  • 1. Doppler Radar From Josh Wurman NCAR S-POL DOPPLER RADAR
  • 2. Doppler Shift: A frequency shift that occurs in electromagnetic waves due to the motion of scatterers toward or away from the observer. Doppler radar: A radar that can determine the frequency shift through measurement of the phase change that occurs in electromagnetic waves during a series of pulses. Analogy: The Doppler shift for sound waves is the frequency shift that occurs as race cars approach and then recede from a stationary observer
  • 3. ( ) ( )00 2cos φπ += tfEtE ttThe electric field of a transmitted wave The returned electric field at some later time back at the radar ( ) ( )( )11 2cos φπ +∆+= ttfEtE tt The time it took to travel c r t 2 =∆ Substituting: ( )       +      += 11 2 2cos φπ c r tfEtE tt The received frequency can be determined by taking the time derivative if the quantity in parentheses and dividing by 2π dt rt t t ttr ff c vf f dt dr c f f c r tf dt d f +=+=+=      +      += 222 2 2 1 1φπ π
  • 4. Sign conventions The Doppler frequency is negative (lower frequency, red shift) for objects receding from the radar The Doppler frequency is positive (higher frequency, blue shift) for objects approaching the radar These “color” shift conventions are typically also used on radar displays of Doppler velocity Blue: Toward radar Red: Receding from radar
  • 5. Note that Doppler radars are only sensitive to the radial motion of objects Air motion is a three dimensional vector: A Doppler radar can only measure one of these three components – the motion along the beam toward or away from the radar
  • 6. Magnitude of the Doppler Shift Transmitted Frequency X band C band S band 9.37 GHz 5.62 GHz 3.0 GHz Radial velocity 1 m/s 10 m/s 50 m/s 62.5 Hz 37.5 Hz 20.0 Hz 625 Hz 375 Hz 200 Hz 3125 Hz 1876 Hz 1000 Hz These frequency shifts are very small: for this reason, Doppler radars must employ very stable transmitters and receivers
  • 7. RECALL THE BLOCK DIAGRAM OF A DOPPLER RADAR AND THE “PHASE DETECTOR”
  • 8. )cos( 2 10 φω += t AA d )sin( 2 10 φω += t AA d 2210 2 QI AA +=Amplitude determination: Phase determination:       =+ − I Q d 1 tanφω
  • 9. Typical period of Doppler frequency df 1 = = 0.3 to 50 milliseconds Typical pulse duration = 1 microsecond Why is emphasis placed on phase determination instead of determination of the Doppler frequency? Only a very small fraction of a complete Doppler frequency cycle is contained within a pulse Alternate approach: one samples the Doppler-shifted echo with a train of pulses and tries to reconstruct, or estimate, the Doppler frequency from the phase change that occurs between pulses.
  • 10. rrvTd = λπ φφ rrvT2 2 12 =      −       − = π φφλ 22 12 r r T v We can understand how the phase shift can be related to the radial velocity by considering a single target moving radially. Distance target moves radially in one pulse period Tr The corresponding phase shift of a wave between two Consecutive pulses (twice (out and back) the fraction of a wavelength traversed between two consecutive pulses) Solving for the radial velocity In practice, the pulse volume contains billions of targets moving at different radial speeds and an average phase shift must be determined from a train of pulses (1)
  • 11. Illustration of the reconstruction of the Doppler frequency from sampled phase values Dots correspond to the measured samples of phase φ
  • 12. PROBLEM More than one Doppler frequency (radial velocity) will always exist that can fit a finite sample of phase values. The radial velocity determined from the sampled phase values is not unique
  • 13.       ∆ = π φλ 22 r r T v π λ π φ <=∆ rrTv4 max 42 v F T v r r === λλ What is the maximum radial velocity possible before ambiguity in the measurement of velocity occurs? From (1) The phase change between pulses must therefore be less than half a wavelength We need at least two measurements per wavelength to determine a frequency  vmax is called the Nyquist velocity and represents the maximum (or minimum) radial velocity a Doppler radar can measure unambiguously – true velocities larger or smaller than this value will be “folded” back into the unambiguous range
  • 14. EXAMPLE VALUES OF THE MAXIMUM UNAMBIGUOUS DOPPLER VELOCITY Wavelength Radar PRF (s-1 ) cm 200 500 1000 2000 3 1.5 3.75 7.5 15 5 2.5 6.25 12.5 25 10 5.0 12.5 25.0 50 Table shows that Doppler radars capable of measuring a large range of velocities unambiguously have long wavelength and operate at high PRF
  • 16. Can you find the folded velocities in this image?
  • 18. F c r 2 max = 8 maxmax λc vr = But recall that for a large unambiguous RANGE Doppler radars must operate at a low PRF 4 max F v λ = THE DOPPLER DILEMA: A GOOD CHOICE OF PRF TO ACHIEVE A LARGE UNAMBIGUOUS RANGE WILL BE A POOR CHOICE TO ACHIEVE A LARGE UNAMBIGUOUS VELOCITY
  • 20. Ways to circumvent the ambiguity dilema 1. “Bursts” of pulses at alternating low and high pulse repetition frequencies Measure reflectivity Measure velocity Low PRF used to measure to long range, high PRF to measure velocity
  • 21. max2 2 nv f V d r ±= λ max2 2 vn f V d r ′′± ′ = λ ( )maxmax 4 nvvnff dd −′′±=′− λ ( )nFFnff dd −′′±=′− 2. Use slightly different PRFs in alternating sequence For 1st PRF For 2nd PRF Solve simultaneously Example: λ = 5.33 cm, F = 900 s-1 , F′ = 1200 s-1 1 max 12 4 − == ms F v λ 1 max 16 4 − = ′ =′ ms F v λ MEASURE fd = -150 hz, f′d = 450 hz ( )nn 9001200300 −′±= 1==′ nn Data is folded once
  • 22. Real characteristics of a returned signal from a distributed target Velocity of individual targets in contributing volume vary due to: 1) Wind shear (particularly in the vertical) 2) Turbulence 3) Differential fall velocity (particularly at high elevation angles) 4) Antenna rotation 5) Variation in refraction of microwave wavefronts
  • 23. NET RESULT: A series of pulses will measure a spectrum of velocities (Doppler frequencies) Power per unit velocity interval (db)
  • 24. ( ) ( )dvvSdffSP v v rdr ∫∫ + − ∞ ∞− == max max ( ) ( ) ( ) r v v r v v r v v r r P dvvvS dvvS dvvvS v ∫ ∫ ∫ + − + − + − == max max max max max max ( ) ( ) ( ) ( ) ( ) r v v rr v v r v v rr v P dvvSvv dvvS dvvSvv ∫ ∫ ∫ + − + − + − − = − = max max max max max max 22 2 σ The moments, or integral properties, of the Doppler Spectrum Average returned power Mean radial velocity Spectral width
  • 25. Example of Doppler spectra As a function of altitude measured in a winter snowband. These spectra were measured with a vertically pointing Doppler profiler with a rather wide (9 degree) beamwidth Note ground clutter Melting level
  • 26. The Doppler spectrum represents the echo from a single contributing region Mean Doppler frequency (or velocity) Related to the reflectivity weighted mean radial motion of the particles Spectral width Related to the relative particle motions RECALL: Fluctuations in mean power from pulse to pulse occur due to interference effects as the returned EM waves superimpose upon one another. Fluctuations are due to the relative motion of the particles between pulses and therefore to the spectral width
  • 27. Effects of relative particle motion: Consider two particles in a pulse volume Return from 1: ( ) ( )[ ]1111 cos φωω ++= tEtE D Return from 2: ( ) ( )[ ]2222 cos φωω ++= tEtE D tfπω 2= λ π ω 2,1 2,1 4 r D v −= Where: Total Echo power proportional to sum of two fields squared With a bit of trigonometry…. ( ) ( ) ( ) ( ) ( ) ( )[ ]ttEtEtE DD 11121 sinsincoscos ωαωα −=+ ( ) ( ) ( ) ( )[ ]ttE DD 112 sinsincoscos ωβωβ −+ Where: 1φωα += t 2φωβ += t ( )[ ]2121 2 2 2 1 cos 22 DDr EE EE P ωω −++∝ Constant term Term which depends on particles relative velocities and wavelength
  • 28. For a large ensemble of particles ( )[ ]∑∑∑ −+∝ j DjDi ii i r EE E P ωωcos 2 21 2 To determine the echo power, one must average over a large enough independent samples that the second term averages to zero HOWEVER!! To determine the Doppler frequency (and velocity) from consecutive measurements of echo phase, the samples must be DEPENDENT (more frequent) than those required to obtain the desired resolution in reflectivity
  • 29. Determining the Doppler Spectrum 1. Doppler spectrum is measured at a particular range gate (e.g. at ) 2 tc r ∆ = 2. Must process a time series of discrete samples of echo Er(t) at intervals of the pulse period Tr 3. Analyze the sampled signal using (fast) Fourier Transform methods: ( ) [ ]r M m r mTkfkfF M mTE 0 1 0 0 2cos 1 )( π∑ − = = ( ) [ ]r M m rr mTkfmTEkfF 0 1 0 0 2cos)( π∑ − = = 4. Frequency components (radial velocities) occur at discrete intervals, with M intervals separated by intervals of 1/MTr = fD M = # of samples f0 = frequency resolution
  • 30. Discrete Doppler spectra computed for a point target, with M = 8. Dots represent the discrete frequency components of the spectra. Point target, M = 8 fD = 2 f0 Point target, M = 8 fD = 2.5 f0 Signal appear in all M lines of the spectrum If Doppler frequency is not an integral multiple of the frequency resolution (normally not the case), the discrete Fourier transform will “smear” power into all of the frequencies across the spectrum.
  • 31. With a distributed target, which has a spectrum of Doppler frequencies, the discrete Fourier transform will always produce power in all frequencies. The power will be relatively uniform at frequencies not associated with the true Doppler frequencies, and peak across the range of true Doppler frequencies. Noise NoiseSignal
  • 32. In most applications (such as the operational NEXRADs), the Doppler spectra are not needed. Recording the entire Doppler spectra at each range gate takes an enormous amount of data storage capability, quickly exceeding the capacity of current electronic storage devices. What are needed are the moments of the spectra – the average returned power, the mean Doppler velocity, and the spectral width
  • 33. How can the moments be obtained from the series of discrete samples? 1. Record time series at each range gate and Fourier analyze Doppler Spectra. Calculate the moments. Discard Spectral data. (Computationally inefficient, given that these calculations must be done for every range gate on every beam! or… 2. Calculate moments as the time series is recorded using the Autocorrelation function (see below), and discard data continuously following the calculation (little data storage required and computationally efficient)
  • 34. Problems complicating process: 1. Noise 2. Folding 3. Clutter Tends to bias Vr to 0 and spectral width to vmax/3
  • 35. )cos( 2 10 φω += t AA d )sin( 2 10 φω += t AA d 2210 2 QI AA +=Amplitude determination: Phase determination:       =+ − I Q d 1 tanφω RECALL THE PHASE DETECTOR IN A DOPPLER RADAR SYSTEM
  • 36. Sample of I/Q channel voltage at time 1: ( )[ ]1 10 1 exp 2 φω += ti AA R D Sample of I/Q channel voltage at time 2: ( )[ ]2 20 2 exp 2 φω += ti AA R D Autocorrelation function: ( )[ ]12 21 2 0* 21 exp 4 φφ −= i AAA RR * 1 1 1 + = ∑= n M n n RR M C
  • 37. 2 10 AA 2 10 AA Amplitude ωd φ1 Representation of I/Q signal on a phase Diagram in complex space
  • 38. φ2−φ1 φ3−φ2 φ4−φ3 φ5−φ4 4 21 2 0 AAA 4 32 2 0 AAA 4 43 2 0 AAA 4 54 2 0 AAA Graphical depiction of how average amplitude (returned power) And phase (radial velocity) are recovered from autocorrelation function The spectral width can also be recovered from autocorrelation function