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<p>Enhancing the survivability of synthetic aperture radar (SAR) in electronic warfare environments is crucial. In this paper, a low-probability-of-intercept (LPI) spotlight SAR imaging method is proposed. It is based on composite modulation waveform and improved Polar Format Algorithm (PFA). This method addresses the limitation that traditional radar systems with linear frequency modulated (LFM) signals are easy to be intercepted. A hybrid optimization approach combining grey wolf optimizer (GWO) and genetic algorithm (GA) is employed to optimize the composite modulation waveform, achieving both excellent pulse compression and LPI performance. Additionally, PFA is improved to process the optimized signal, addressing the azimuth non-uniform sampling problem in polar interpolation. Simulations of point targets and scenes under PRF agility and encoding sequence agility validate the effectiveness of the proposed algorithm.</p>

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LPI Spotlight SAR Imaging with Composite Modulation and PRF Agility Based on Polar Format Algorithm

  • 期刊论文

  • 发表日期：

    2025年5月28日

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  • Jingjing Yang,
  • Haolin Zhang

摘要

Enhancing the survivability of synthetic aperture radar (SAR) in electronic warfare environments is crucial. In this paper, a low-probability-of-intercept (LPI) spotlight SAR imaging method is proposed. It is based on composite modulation waveform and improved Polar Format Algorithm (PFA). This method addresses the limitation that traditional radar systems with linear frequency modulated (LFM) signals are easy to be intercepted. A hybrid optimization approach combining grey wolf optimizer (GWO) and genetic algorithm (GA) is employed to optimize the composite modulation waveform, achieving both excellent pulse compression and LPI performance. Additionally, PFA is improved to process the optimized signal, addressing the azimuth non-uniform sampling problem in polar interpolation. Simulations of point targets and scenes under PRF agility and encoding sequence agility validate the effectiveness of the proposed algorithm.