频率多变阵列和聚光灯合成孔径雷达 2D成像基于多重重复次脉冲
Qinlin Li1, Kefei Liao1,2, Ningbo Xie1,2
1School of Information and Communication, Guilin University of Electronic Technology, Guilin 541004, China.
Sensors (Basel, Switzerland)
|February 26, 2025
概括
这项研究引入了一种新的2D成像系统,将频率多元阵列 (FDA) 和聚光灯合成孔径雷达 (SSAR) 结合起来,用于增强目标检测. 该系统实现了较低的侧叶,提高了成像结果中的弱目标的可见性.
科学领域:
- 雷达系统工程 雷达系统工程
- 信号处理 信号处理
- 电磁学 电磁学 电磁学 电磁学
背景情况:
- 频率多变阵列 (FDA) 束呈现"S"形状,防止与聚光灯合成孔径雷达 (SSAR) 直接结合,以形成点束.
- 传统方法在将FDA和SSAR结合时,在距离方向和近视角方向同时实现高分辨率方面存在困难.
研究的目的:
- 提出和验证一种新的2D成像系统,即多重重复次脉冲频率多变阵列聚光灯合成孔径雷达 (MRS-FDA-SSAR),用于改进目标成像.
- 解决FDA光束在形成点光束方面的局限性及其与SSAR不相容的问题.
- 通过减少可以掩盖弱目标的高目标侧叶,提高2D成像结果的清晰度.
主要方法:
- 在空中平台上开发一个MRS-FDA-SSAR系统.
- 利用FDA元件之间的频率差异来合成宽带信号以实现距离方向分辨率.
- 采用合成光圈技术来实现近向方向的分辨率.
- 应用背向投影 (BP) 算法用于初始的2D成像.
- 实施一个解卷算法,以减轻高侧叶在BP成像结果.
主要成果:
- 通过FDA成功合成宽带信号,用于使用远距离方向分辨率.
- 通过合成光圈技术实现了近视角方向分辨率.
- 使用BP算法生成2D成像结果.
- 通过解卷算法显著减少了目标侧叶,改善了弱目标的可见性.
- 实验模拟验证了MRS-FDA-SSAR模型的有效性.
结论:
- 拟议的MRS-FDA-SSAR系统有效地克服了SSAR集成传统FDA光束的局限性.
- 实现的解卷算法成功地减少了侧叶,提高了在二维雷达成像中检测弱目标的性能.
- 对于先进的二维雷达成像应用,MRS-FDA-SSAR模型显示出显著的前景.
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