Passive radar (PR) systems use the existing transmitters of opportunity in the environment to perform tasks such as detection, tracking, and imaging. The classical cross-correlation based methods to obtain the range-Doppler map have the problems of high sidelobe and limited resolution due to the influence of signal bandwidth. In this paper, we propose a novel range-Doppler processing method based on compressed sensing (CS), which performs sparse reconstruction in range and Doppler dimensions to achieve high resolution and reduces sidelobe without excessive computational burden. Results from numerical simulations and experimental measurements recorded with the Chinese standard digital television terrestrial broadcasting (DTTB) based PR show that the proposed method successfully handles the range-Doppler map formatting problem for PR and outperforms the existing CS-based PR processing methods.

中文翻译：

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基于压缩感知的无源雷达距离多普勒处理方法

无源雷达 (PR) 系统使用环境中现有的机会发射器来执行检测、跟踪和成像等任务。由于信号带宽的影响，传统的基于互相关的距离多普勒图获取方法存在旁瓣高和分辨率有限的问题。在本文中，我们提出了一种基于压缩感知 (CS) 的新型距离多普勒处理方法，该方法在距离和多普勒维度上执行稀疏重建以实现高分辨率并减少旁瓣，而不会产生过多的计算负担。