一种通过时空编码和盲源分离的新型雷达主叶反干扰方法
Xinyu Ge1, Yu Wang1, Yangcheng Zheng1
1Key Laboratory of Radar Imaging and Microwave Photonics, Ministry of Education, Nanjing University of Aeronautics and Astronautics, Nanjing 211116, China.
Sensors (Basel, Switzerland)
|October 16, 2025
概括
本研究介绍了一种使用时空编码 (STC) 和盲源分离 (BSS) 的雷达防干扰技术. 该方法增强了干扰信号的分离,提高了低SNR环境中的雷达性能.
科学领域:
- 雷达系统工程 雷达系统工程
- 信号处理 信号处理
- 电子战是一种电子战.
背景情况:
- 传统的盲源分离 (BSS) 方法在低信号对噪声比 (SNR) 和有限的空间分辨率下遭受性能下降.
- 空载合成孔径雷达 (SAR) 系统面临着主要叶片干扰的挑战,影响成像质量和运营效率.
研究的目的:
- 提出和验证一种新的雷达主叶反干扰方法.
- 在复杂的干扰场景中解决传统BSS技术的局限性.
- 增强空间自由度 (DOF) 以改善信号分离.
主要方法:
- 建立空中SAR成像和干扰信号混合模型.
- 实施时空编码 (STC) 以增加等效相中心和系统DOF.
- 采用基于JADE的盲源分离 (BSS) 算法进行干扰信号分离.
主要成果:
- 拟议的STC-BSS方法显著提高了干扰信号的分离.
- 在点目标场景中实现了大约10dB的干扰抑制增益.
- 在分布式目标场景中获得了大约3dB的干扰抑制增益,超过了传统的BSS.
结论:
- 结合STC和BSS的方法为雷达主叶反干扰提供了一个强大的解决方案.
- 这种方法提高了雷达系统在复杂的电磁环境中的弹性.
- 通过整合STC和BSS,为雷达防干扰研究提供了一个新的方向.
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