高速运动目标的积累检测研究

针对Ch irp雷达在低信噪比下对高速运动目标的有效积累检测问题,首先分析Ch irp雷达运动目标的回波特性,指出包络走动是影响高速运动目标相参积累性能的主要因素,然后提出用频分包络移位算法来解决该问题。MonteCarlo仿真实验表明,在信噪比-4 dB的条件下,采用该算法,对高速运动目标的检测性能可以达到在虚警概率为10-6时截获概率大于98%。

Detection Algorithm Research for High Velocity Moving Target

In this paper,the problem of the efficient coherent integrative detection of high velocity moning target with low SNR is investigated.Firstly,the characteristic of chirp radar's return is analyzed.And then it is pointed out that the main factor that influences the performance of the coherent integration is the envelope's migration between range cells.Finally,a new integrative detection algorithm,which is using divided frequency and replaced envelope,is proposed to resolve this problem.Monte Carlo test shows that,on the condition of-4 dB SNR,using this algorithm,the high velocity moving targets can be detected,with the false alarming probability under 10~(-6) and the detection probability above 98%.