基于随机PRI压缩感知雷达的速度假目标识别方法

摘要

When the random pulse repetition interval (RPRI) compressed sensing radar suffers from the jamming of active velocity false target,the sparsity of target echoes will be destroyed and the RPRI compressed sensing radar's superiority on target detection and velocity measurement will be limited.In practice,due to the random modulation,the jammers can hardly update precise parameters such as the random PRI in time,which will induce the echo signals of true and false target to be sparse in different dictionaries.By utilizing this factor,a velocity false target identification algorithm is proposed within the frame of compressed sensing.The echo signals of true and false target can be sparsely presented and separated by building a joint dictionary.Also,to present application limitation of the algorithm,the autocorrelation of the joint dictionary under different RPRI signal's random mode is analyzed as well as its influence on the separation results.Computer simulation verifies the effectiveness and superiority of the algorithm.%当存在有源速度假目标干扰时,随机脉冲重复间隔(Random Pulse Repetition Interval,RPRI)压缩感知雷达的回波稀疏性将被破坏,其目标检测与测速性能无法正常发挥.考虑到干扰机通常无法保证在相位调制时实时准确地更新雷达随机脉冲重复间隔,这将导致其生成的虚假目标信号与真实目标信号在不同的字典上稀疏.本文利用这一特性,在压缩感知框架下提出速度假目标识别算法,该算法通过建立联合字典实现真/假目标的稀疏表示与分离.通过分析不同随机模式下联合字典的自相干性及其对分离结果的影响,给出了本算法的适用范围,仿真结果验证了本算法的有效性.