无源雷达多普勒谱分析实现动目标检测的方法

该文提出了基于多普勒谱分析的无源相干雷达(PCR)运动目标检测的方法，将雷达系统接收到的外辐射源连续波信号分段并等效成脉冲串信号，利用脉冲压缩和多普勒处理技术对目标进行检测及定位。该方法以脉冲多普勒(PD)雷达的理论为基础，说明了匹配滤波时连续波信号可以划分成脉冲串信号等效处理，对应给出了无源雷达信号分段及多普勒谱分析的具体方法。文中还详细推导了该方法与传统的计算互模糊函数(CAF)方法之间的数学联系，确立了分段参数的设置准则，在几乎不影响目标积累增益的前提下，计算效率可提升103 ～105 倍。仿真数据和实测数据分别验证了该方法的有效性。 

Detection of Moving Targets Based on Doppler Spectrum Analysis Technique for Passive Coherent Radar

A novel method of moving targets detection taking Doppler spectrum analysis technique for Passive Coherent Radar (PCR) is provided. After dividing the receiving signals into segments as pulse series, it utilizes the technique of pulse compress and Doppler processing to detect and locate the targets. Based on the algorithm for Pulse-Doppler (PD) radar, the equipollence between continuous and pulsed wave in match filtering is proved and details of this method are introduced. To compare it with the traditional method of Cross-Ambiguity Function (CAF) calculation, the relationship and mathematical modes of them are analyzed, with some suggestions on parameters choosing. With little influence to the gain of targets, the method can greatly promote the processing efficiency. The validity of the proposed method is demonstrated by offline processing real collected data sets and simulation results.