O slideshow foi denunciado.
Utilizamos seu perfil e dados de atividades no LinkedIn para personalizar e exibir anúncios mais relevantes. Altere suas preferências de anúncios quando desejar.

FHSS

317 visualizações

Publicada em

Frequency Hopping Spread Spectrum and Security Algorithm with Arduino and Matlab Simulation.

Publicada em: Engenharia

FHSS

  1. 1. GUIDED BY: PROF.NAGENDRA P.GAJJAR MADE BY: VARDHAN KANTHARIA-13BEC106 SHUBHAM GUSSAIN – 13BEC107 12/9/2016REVIEW 1 1
  2. 2. CONTENTS Sr. No. TOPIC SLIDE NO. 1. Objective 2 2. Introduction to Mobile Communication 4 3. Frequency Hopping Spread Spectrum 7 4. Software Packages 15 5. Further Progress 17 12/9/2016REVIEW 1 2
  3. 3. OBJECTIVE • The aim is to design and innovate the mobile security algorithm to one step ahead. • This is accomplished using the various technique, so on the bases of advantages favoured by the user as well as the surroundings a technique called as Spread spectrum is used. • This is then encrypted with efficient coding that ensures proper data transmission in a safe and secure manner 12/9/2016REVIEW 1 3
  4. 4. INTRODUCTION TO MOBILE COMMUNICATION • Basically two types of communication: Satellite & Mobile • Evolution of technology has increased the utility as well as demand • Data rate, Bandwidth, Frequency are the concerned areas for the improvisation • Various modulation technique: BPSK, QPSK, DSSS, QAM, FHSS etc. • looking for the accurate connection, we chose the method of Spread Spectrum 12/9/2016REVIEW 1 4
  5. 5. INTRODUCTION TO MOBILE COMMUNICATION 0 100000 200000 300000 400000 500000 600000 700000 1996 1997 1998 1999 2000 2001 subscribers(x1000) Analog total GSM total CDMA total TDMA total PDC/PHS total total 12/9/2016REVIEW 1 5
  6. 6. fixed network BSS BSS MSC MSC GMSC OMC, EIR, AUC VLR HLR NSS with OSS RSS VLR 12/9/2016REVIEW 1 6
  7. 7. FREQUENCY HOPPING SPREAD SPECTRUM 12/9/2016REVIEW 1 7
  8. 8. EXPLANATION OF FHSS BD STEP 1: • The input to the channel in real time is the voice. The voice is 4 KHZ in real time and so as per Nyquist rule we sample it at 8 KHZ to get the digital sequence followed by a Low Pass Filter • So now we have our input data as digital sequence of voice centred at 8 KHZ frequency. The next part is to do the suitable channel encoding. • The complete circuit for the input data can be traced to the usage of operational amplifier with a voice sensor for the input. 12/9/2016REVIEW 1 8
  9. 9. EXPLANATION OF FHSS BD • Step 2: The channel encoder • Channel encoding is technique where suitable code is used to define the channel for the transmission. There can be various technique to this. • Manchester, Hamming, etc are the various types of coding. To keep the simplicity we will go with the Pseudorandom code. • In practice we will generate the code using the Linear Feedback Shift Register 12/9/2016REVIEW 1 9
  10. 10. EXPLANATION OF FHSS BD • Step 3: • So now we come to the third step that is modulation of the signal. So far we have taken the input data and sampled it at 8KHZ frequency to get the digital wave form. • This signal is then encoded with pseudorandom code using the LFSR register • The next we do the modulation of the signal. For this we choose the technique of BPSK modulation. 12/9/2016REVIEW 1 10
  11. 11. EXPLANATION OF FHSS BD • The BPSK modulation is also called as Binary Phase Shift Keying. To explain in simple words we take the signal as two components • One is the Ac cos(2πfct) and –( Ac cos(90 + 2πfct) ) • This symbols when plot on graph paper will have two different quadrants, one being the I-Quadrant and the other being the II-Quadrant • Thus we have to symbols almost 180 degree apart • The advantage is the Bit Error Rate is high and so it is a robust signal modulation technique 12/9/2016REVIEW 1 11
  12. 12. EXPLANATION OF FHSS BD • The question comes how to practically implement a BPSK signal? The answer is using an operational amplifier • In market we get an IC CD4016 which is useful in getting the desired signal • With little improvisation in the circuit we can achieve a better signal • The next two slide shows the block diagram for the BPSK signal modulator and Frequency hopping Synthesizer respectively 12/9/2016REVIEW 1 12
  13. 13. EXPLANATION OF FHSS BD 12/9/2016REVIEW 1 13
  14. 14. EXPLANATION OF FHSS BD Transmitter End 12/9/2016REVIEW 1 14
  15. 15. EXPLANATION OF FHSS BD • Step 4: The frequency Hopping • By the end of step 3 we have a refined BPSK signal which can be smoothened using a Band Pass Filter (BPF) if required. • Now comes into picture another type of small modulation technique called as the Spread Spectrum. It can be a Direct Spread Spectrum or a Frequency Spread Spectrum • In our case we choose the Frequency Hopping Spread Spectrum. Before we go into the implementation we will define certain terms regarding the FHSS technique. 12/9/2016REVIEW 1 15
  16. 16. EXPLANATION OF FHSS BD • The modulator of the FHSS is based on the DDFS which is the Digital Direct Frequency Synthesizer • Consider the ISM band of 866.5 + 3.5MHZ is the range. We will aim to create hop of minimum two symbols at 20 KHZ. Thus we have two hops per symbol • To do this we require an oscillator of 866.5 MHZ which can span range up to 0-3.5 MHZ • Then next term we define is the SNR which is the ratio of signal power to noise power 12/9/2016REVIEW 1 16
  17. 17. EXPLANATION OF FHSS BD • With the knowledge of SNR we will define Shannon theorem of channel capacity • The Shannon theorem say that in noisy channel the maximum channel capacity C is defined mathematically as: C = 𝐵𝑊𝑙𝑜𝑔2 1 + 𝑆𝑁𝑅 Frequency is selected with a 20 bit frequency control word to obtain a Fclk/2N frequency control resolution, where N is the number of frequency control bits and Fclk is the sampling frequency of the DDFS/DAC. 12/9/2016REVIEW 1 17
  18. 18. EXPLANATION OF FHSS BD • Essentially, a modulator consists of a DDFS, a PN code generator and a mixer. The DDFS creates digital samples of a baseband sinusoidal waveform by addressing a sine signal at a frequency set by a 20-bit control word. • The PN code is a random generator code, which corresponds to the hopping patterns. The mixer selects one of the two codes generated by both PN code generators. • The PN code is a random generator code, which corresponds to the hopping patterns. The mixer selects one of the two codes generated by both PN code generators. • he PN code is a random generator code which has a 20 bits length and works at the rising edge of a clock frequency which is lower than the sampling frequency. At each clock edge the PN code will generate a binary word N (frequency control word), which serves as incremental phase for the DDFS 12/9/2016REVIEW 1 18
  19. 19. EXPLANATION OF FHSS BD • he N binary words are stored in a ROM memory that will be sent to the DDFS at each clock period. The hardware description and design of the PN code generation has been done using the VHDL • DDFS consists of a phase accumulator and a sine/cosine generator. The phase accumulator input is a frequency control word (Fcw). The phase accumulator is an overflowing N bit accumulator whose value specifies the instantaneous phase • A large phase accumulator is frequently used in DDFS for the fine frequency resolution at high clock frequency. However, this large accumulator cannot finish one addition in a small single clock period because of the delay caused by the carry bits propagating during the addition. 12/9/2016REVIEW 1 19
  20. 20. EXPLANATION OF FHSS BD • Thus we get the desired FHSS signal hoping at passage of every two symbols • This completes our entire Transmission channel for the FHSS • The next portion is describing the Channel or the medium of transmission and then will be followed by the Demodulation technique • Next slide is the simple one page summary for the part of FHSS generation followed by the Graphical diagram as well as the Matlab simulation • For better understanding compare each step with the Matlab image shown below as it is dissected portion of every step 12/9/2016REVIEW 1 20
  21. 21. SUMMARY OF FREQUENCY HOPPING SPREAD SPECTRUM • Typically 2k carriers frequencies forming 2k channels • Channel spacing corresponds with bandwidth of input • Each channel used for fixed interval  Some number of bits transmitted using some encoding scheme  May be fractions of bit  Sequence dictated by spreading code • Frequency shifted every Tc seconds • Slow FHSS has Tc  Ts • Fast FHSS has Tc < Ts • Generally fast FHSS gives improved performance in noise (or jamming) 12/9/2016REVIEW 1 21
  22. 22. FREQUENCY HOPPING SPREAD SPECTRUM 12/9/2016REVIEW 1 22
  23. 23. FREQUENCY HOPPING SPREAD SPECTRUM 12/9/2016REVIEW 1 23
  24. 24. MATLAB SIMULATION RESULT 12/9/2016REVIEW 1 24
  25. 25. GENERATION OF PN SEQUENCE 12/9/2016REVIEW 1 25
  26. 26. GENERATION OF PN SEQUENCE(CONT.) 12/9/2016REVIEW 1 26
  27. 27. SOFTWARE PACKAGES • So far theoretical learning emphasized on using FHSS as the efficient technique • Practically it is done using two important software packages available in the market: MATLAB & Xilinx • MATLAB is an important tool as far as communication is considered. It is versatile and due to ease of matrix forming is more preferential for all DSP Application 12/9/2016REVIEW 1 27
  28. 28. SOFTWARE PACKAGES • Xilinx-FPGA is an important kit that will practically generate the FHSS with using specialized development board: Atlys & Vivado • Xilinx manufacture Spartan series of FPGA, Zynq SOCs and many CPLDS • This is more covered in the later section of Projects. Currently the work is on th MATLAB. 12/9/2016REVIEW 1 28
  29. 29. FURTHER PROGRESS • The next section will improvise the coding scheme and MLSR coding is taken into consideration. This is more important to understand the IS-95 standard of CDMA • With the practical implementation on Xilinx we step up to another level of implementing the new coding scheme • The FPGA used is Atlys board XC6SLX45-3CSG324 • The main purpose of using this is the presence of 4 PLL clocks, 58 DSP tool compatibility, 8 Flip-Flops and internal clock speed up to 500 MHz 12/9/2016REVIEW 1 29
  30. 30. FURTHER PROGRESS • The next action to be taken is to get the necessary HOPS in the FHSS signal with taking noise into consideration • While experimenting at this point we subsequently change the input frequency of 8 KHz • The new operating frequency is (800-1100) MHz 12/9/2016REVIEW 1 30
  31. 31. REFERENCES [1] "Pseudorandom generator theorem," in Wikipedia, Wikimedia Foundation, 2016. [Online]. Available: https://en.wikipedia.org/wiki/Pseudorandom_generator_theorem. Accessed: Sep. 17, 2016. [2] J. 30, "Pseudo random number generation using linear feedback shift registers - application note - maxim," 2016. [Online]. Available: https://www.maximintegrated.com/en/app- notes/index.mvp/id/4400. Accessed: Sep. 17, 2016. [3] "Phase-shift keying," in Wikipedia, Wikimedia Foundation, 2016. [Online]. Available: https://en.wikipedia.org/wiki/Phase-shift_keying. Accessed: Sep. 17, 2016. [4] [Online]. Available: http://patentimages.storage.googleapis.com/US7564929B2/US07564929- 20090721-D00002.png. Accessed: Sep. 17, 2016. [5] [Online]. Available: http://patentimages.storage.googleapis.com/US7564929B2/US07564929-20090721- D00002.png. Accessed: Sep. 17, 2016. [6] R. W. W. 2012, "Pseudorandom noise sequence basics," 2012. [Online]. Available: http://www.rfwireless-world.com/source-code/MATLAB/PN-sequence-basics-and-matlab- code.html. Accessed: Sep. 17, 2016. 12/9/2016REVIEW 1 31
  32. 32. THANK YOU 12/9/2016REVIEW 1 32

×