Ambiguity Function Analysis of Polyphase Codes in Pulse Compression Radars

  • Ankur Thakur
  • Davinder Singh Saini
Conference paper
Part of the Algorithms for Intelligent Systems book series (AIS)


In a radar system, pulse compression technique permits us to overcome the trade-off between long and short duration pulses. Long duration pulses are used for good detection, whereas short duration pulses are used for better range resolution. During pulse compression, side-lobes exist with the main-lobe of the matched filter response. These side-lobes are unwanted because small targets might be hidden in the side-lobes which create the problem of accurate detection. When side-lobes are reduced, then main-lobe width is expanded which affects the range resolution. Linear frequency modulated waveforms and different polyphase codes, viz. Frank, P1, P2, P3 and P4 are used to reduce the side-lobes in the pulse compression. In this paper, polyphase codes are observed in pulse compression technique for side-lobe reduction. Ambiguity function is used to observe the polyphase codes behavior for side-lobes and range resolution. Simulation results show that P4 codes are best for side-lobe reduction as well as for better Doppler tolerance. The entire stated method is done with the aid of mathematical equations and simulation verification.


Ambiguity function Matched filter Peak side-lobe level Polyphase codes Pulse compression 



Authors are thankful to the Department of Science and Technology (DST) for sanctioning a INSPIRE Fellowship with Registration No. IF-180847 for Ph.D. Programme under which this paper has been accomplished.


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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • Ankur Thakur
    • 1
  • Davinder Singh Saini
    • 1
  1. 1.Department of Electronics and Communication EngineeringChandigarh College of Engineering and TechnologyChandigarhIndia

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