针对密集多假目标干扰下,真假目标识别困难、跟踪精度低的问题,提出了基于功率特征的抗干扰技术。首先,对干扰条件下的雷达量测进行信号似然比预处理,剔除杂波;然后,进行角度卡方检验及同源量测融合,以充分利用虚假目标信息;最后,根据真假目标功率特征构建“分贝数冶加权因子,并结合位置信息,实现真实目标的功率/ 位置双重加权,从而大大削弱干扰信号的影响,达到抗干扰的目的。仿真实验表明,该技术能较好地适应密集多假目标干扰环境,并取得较高的跟踪精度。

In the presence of dense multi-range-false-target jamming, it is difficult to identify true and false targets, and the tracking performance is poor. To solve this problem, a tracking technique based on power feature is proposed in this paper. Firstly, signal likelihood ratio preprocessing is applied to measurements to decrease the clutter. Then, the angle chi-square test and data fusion are utilized to make full use of false target information. Finally, a‘decibel’weighting factor is constructed according to the true and false target power feature, so the true target can be double weighted associated with the position information. Thus, the effect of the jamming signal is greatly weakened. Simulation results show that the proposed technique performs well under dense false-target jamming and gets high tracking accuracy.

TN95