在低信号噪音比率下,端到端的中断采样重复器堵塞对策网络
Gane Dai1, Xiaoxuan Yang2, Sha Huan2
1School of Electronic Information Engineering, Foshan University, Foshan 528225, China.
Sensors (Basel, Switzerland)
|July 12, 2025
概括
一个新的复杂值编码器-解码器网络 (CVEDNet) 有效地抑制了雷达系统中断采样重复器干扰 (ISRJ). 这种方法保留了真正的目标信号,即使在低信号噪声比 (SNR) 条件下.
科学领域:
- 电气工程 电气工程
- 信号处理 信号处理
- 雷达系统 雷达系统
背景情况:
- 间断采样重复器干扰 (ISRJ) 通过生成虚假目标,给雷达系统带来了重大挑战.
- 现有的ISRJ对策往往会降低实际目标信号完整性,特别是在低信号噪声比 (SNR) 的环境中.
- 这些局限性导致检测性能降低,雷达系统的有效性受到损害.
研究的目的:
- 为有效的ISRJ抑制提出一种新的深度学习方法.
- 解决现有方法在低SNR条件下保留真实目标信号方面的局限性.
- 在ISRJ的存在下提高雷达检测性能.
主要方法:
- 开发一个复杂值的编码器-解码器网络 (CVEDNet),用于端到端的ISRJ抑制.
- 使用信号分解和堆叠的双分支结构,具有多尺度扩展卷积.
- 采用多域联合损失函数,整合波形和范围-脉冲-压缩信息.
主要成果:
- CVEDNet成功地抑制了ISRJ信号,而不影响目标的真实回声效率.
- 与传统技术相比,该方法在低SNR条件下表现优越.
- 在干扰抑制能力,回声效率和检测性能指标方面得到验证的改进.
结论:
- 拟议的CVEDNet为雷达系统中ISRJ抑制提供了一个有效和强大的解决方案.
- 这种深度学习方法保留了目标信号的基本特征,提高了雷达的可靠性.
- 该方法在具有挑战性的电子战场景中显著改善雷达性能.
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