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Design and Analysis of Different Sidelobe Reduction Filters for P3 Polyphase Codes.

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Title: Design and Analysis of Different Sidelobe Reduction Filters for P3 Polyphase Codes.
Authors: Singh, Sohan Pal1 (AUTHOR) spsingh@mgit.ac.in, Praveena, S.1 (AUTHOR) spraveena_ece@mgit.ac.in
Source: IETE Journal of Research. Feb/Mar2026, Vol. 72 Issue 2/3, p422-430. 9p.
Subjects: Pulse compression (Signal processing), Signal filtering, Genetic algorithms, Radar, Statistical correlation, Radar signal processing
Abstract: Long pulse waveforms feature high energy but low resolution, and short pulse waveforms provide low energy but high range resolution. Employing the Pulse Compression approach enables radar signal designers to achieve the required energy levels of longer duration signals while maintaining the range resolution of shorter duration signals. This method is essential in high-range resolution radar for effectively discriminating targets hidden within dense clutter. Polyphase codes are commonly employed as pulse compression signals in radar systems. Nevertheless, pulse compression codes provide unwanted correlation sidelobes. This paper proposes various Sidelobes Reduction Filters (SRF) designed to mitigate the peak sidelobe levels of P3 polyphase codes used in pulse compression radar. The Modified Genetic Algorithm (MGA) is implemented to optimize the weights of these proposed sidelobe reduction filters. The proposed filters demonstrate a significant reduction in the correlation Peak Sidelobe Level (PSL) associated with well-known P3 polyphase codes. The simulated results presented in this paper demonstrate the improved correlation properties achieved through the proposed techniques. [ABSTRACT FROM AUTHOR]
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Database: Engineering Source
Description
Abstract:Long pulse waveforms feature high energy but low resolution, and short pulse waveforms provide low energy but high range resolution. Employing the Pulse Compression approach enables radar signal designers to achieve the required energy levels of longer duration signals while maintaining the range resolution of shorter duration signals. This method is essential in high-range resolution radar for effectively discriminating targets hidden within dense clutter. Polyphase codes are commonly employed as pulse compression signals in radar systems. Nevertheless, pulse compression codes provide unwanted correlation sidelobes. This paper proposes various Sidelobes Reduction Filters (SRF) designed to mitigate the peak sidelobe levels of P3 polyphase codes used in pulse compression radar. The Modified Genetic Algorithm (MGA) is implemented to optimize the weights of these proposed sidelobe reduction filters. The proposed filters demonstrate a significant reduction in the correlation Peak Sidelobe Level (PSL) associated with well-known P3 polyphase codes. The simulated results presented in this paper demonstrate the improved correlation properties achieved through the proposed techniques. [ABSTRACT FROM AUTHOR]
ISSN:03772063
DOI:10.1080/03772063.2025.2584680