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Ambiguity Function Analysis of Polyphase Codes in Pulse Compression Radars

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

Abstract

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.

Keywords

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

Notes

Acknowledgements

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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