Scholarlink

<p>Conventional synthetic aperture radar (SAR) with linear frequency modulation signals is more easily intercepted in electronic countermeasures. For this problem, a low probability of intercept (LPI) SAR imaging algorithm based on complex modulation waveform and back projection is proposed in this paper. Frequency and phase encoding signals are adopted to introduce various time-frequency relationships. Binary Particle Swarm Optimization Algorithm (BPSO) and Genetic Algorithm (GA) are jointly applied to pursue encoding sequences that can improve the LPI and pulse compression properties of the complex modulation signals by taking the Lagrangian Barrier Function as the optimization goal. The Back Projection Algorithm (BPA) is employed for SAR imaging due to its adaptability. Point targets and real scene simulations are carried out. The imaging results under various agility conditions including single waveform, encoding sequence agility, pulse repetition interval (PRI) agility, and carrier frequency agility validate the feasibility of the proposed algorithm for LPI SAR. The anti-jamming performance is also evaluated to prove the advantage.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

LPI SAR imaging based on complex modulation waveform and BPA: feasibility study

  • 期刊论文

  • 发表日期：

    2025年9月11日

查看全文
  • Haolin Zhang,
  • Haoyan Rong,
  • Junwen Tang,
  • Yabo Liu,
  • Zhongjun Yu,
  • Zicheng Wang,
  • Shichao Chen

摘要

Conventional synthetic aperture radar (SAR) with linear frequency modulation signals is more easily intercepted in electronic countermeasures. For this problem, a low probability of intercept (LPI) SAR imaging algorithm based on complex modulation waveform and back projection is proposed in this paper. Frequency and phase encoding signals are adopted to introduce various time-frequency relationships. Binary Particle Swarm Optimization Algorithm (BPSO) and Genetic Algorithm (GA) are jointly applied to pursue encoding sequences that can improve the LPI and pulse compression properties of the complex modulation signals by taking the Lagrangian Barrier Function as the optimization goal. The Back Projection Algorithm (BPA) is employed for SAR imaging due to its adaptability. Point targets and real scene simulations are carried out. The imaging results under various agility conditions including single waveform, encoding sequence agility, pulse repetition interval (PRI) agility, and carrier frequency agility validate the feasibility of the proposed algorithm for LPI SAR. The anti-jamming performance is also evaluated to prove the advantage.