步进调频宽带雷达距离扩展目标频域检测算法

论文研究高斯杂波背景下步进调频宽带雷达的距离扩展目标检测问题。根据步进调频宽带雷达目标高分辨距离像的特点，提出一种基于回波功率谱的距离扩展目标频域检测算法。该算法无需对目标抽取形成1维距离像，直接利用目标高分辨距离像功率谱与杂波功率谱的差异，在频域实现了距离扩展目标回波能量的积累。推导了算法的检验统计量，给出了虚警概率的表达式。最后通过Monte-Carlo仿真验证了算法的检测性能。仿真结果表明该文的目标检测算法较目标抽取后的检测算法在检测性能上有明显提高，同时其检测性能也优于同条件下基于视频积累的距离扩展目标检测算法，并且具有良好的鲁棒性和工程可实现性。

Range-spread Target Detection of Stepped Chirp Modulated Radar in the Frequency Domain

A novel range-spread target detection algorithm in Gaussian clutter is addressed for Stepped Chirp Modulated Radar (SCMR). For SCMR, the High Resolution Range Profile (HRRP) of a target is obtained by target extraction from overlapping HRRPs which is caused by oversampling. During the target extraction (sometimes called de-correlation), some strong scatters of the target echo are discarded, as the result, the Signal-to-Clutter Ratio (SCR) might be reduced and the target detection capability is degraded. To solve this problem, a novel target detection algorithm without target extraction is addressed. The new algorithm based on the power spectrum of echoes uses not only the amplitude information, but also the phase information of the overlapping HRRPs of a target to improve the SCR, therefore, has significant performance. The test statistic and the false alarm probability of the detector are derived. Finally, the detection performance is assessed by Monte-Carlo simulation, and the results indicate that the proposed algorithm is effective. In addition, the proposed algorithm is robust and easy to implement in practical application.