By exploiting the sparsity of the scene containing only a few moving targets, a high-resolution and real-time range-Doppler map generation algorithm for passive bistatic radar is proposed. The proposed algorithm divides the long integration time into multiple short batches, from which a few batches are randomly selected on the basis of compressive sensing theory. A one-dimensional cross correlation is performed for each selected batch to obtain the range-compressed profile. Mean-value subtraction is then performed to suppress the direct path interference and stationary target reflections. Finally, an extended orthogonal matching pursuit algorithm is proposed for the effective estimation of target Doppler frequency. Practical application of this novel algorithm is examined by the detection of airplanes and ships via two synchronized general-purpose software-defined radio receivers. The results show that the proposed algorithm can achieve an improved resolution and a reduced sidelobe level compared to the conventional algorithms.

中文翻译：

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用于无源雷达距离多普勒图生成的批量压缩传感

利用场景中仅包含少量运动目标的稀疏性，提出了一种高分辨率、实时的无源双基地雷达距离多普勒图生成算法。所提出的算法将长积分时间划分为多个短批次，基于压缩感知理论从其中随机选择几批次。对每个选定的批次执行一维互相关以获得范围压缩的配置文件。然后执行平均值减法以抑制直接路径干扰和静止目标反射。最后，针对目标多普勒频率的有效估计，提出了一种扩展的正交匹配追踪算法。这种新颖算法的实际应用通过两个同步的通用软件定义无线电接收器对飞机和船舶的检测进行了检验。结果表明，与传统算法相比，所提出的算法可以实现更高的分辨率和更低的旁瓣电平。