LS-Relax算法抗诱饵诱偏

Anti-Decoy Using LS-Relax Algorithm

目标与有源诱饵常处于弹载雷达的同一分辨单元,致使导弹的命中概率大大降低。采用LS-Relax算法在多普勒域、角度域和复幅度域上实现了目标信号参数测量和目标检测,并应用于抗诱饵诱偏中以提高导弹的命中概率。此算法能有效地分辨出同一分辨单元内的多目标,精确地测量出各目标的多普勒频率、角度、幅度和初始相位等信息,以重构出目标或诱饵信号从而达到抑制诱饵诱偏干扰的目的。仿真结果表明,当SNR>15dB,目标测角误差小于0.1°,失调系数小于0.1。由此表明,算法的收敛性较好。

It is a serious problem for the missile-borne radar when targets and active decoys are in the same range-angle resolution cell, which can greatly reduce the fighting efficiency of the missile. The LS-Relax algorithm is utilized, which is achieved to measure parameters and detection on the joint fields of the Doppler-frequency, angle and complex amplitude. Some researches are done on anti-decoy to increase the fighting efficiency. Those parameters, including Doppler-frequencies, angles, amplitudes and phases, are measured one by one to reconstruct the signals of the target and active decoys. Consequently, the active decoying interference is availably suppressed by this method. Simula- tions are given to validate the efficiency of this approach. On the condition of SNR 〉 15dB, the angle measure error of target is less than 0.1 degree, the coefficient of maladjustment is less than 0.1. Those results indicate the LS-Relax algorithm has a good convergence.