基于多特征的密集假目标干扰融合识别与抑制

Fusion identification and suppression technique against concentrated false targets jamming based on multiple features

密集假目标干扰通过产生大量虚假回波扰乱雷达对真实目标的有效检测和识别,由于虚假回波信号与真实信号的高度相关性,雷达很难对其进行有效识别和抑制。针对该问题,提出了基于信号-数据多特征的脉冲多普勒雷达密集假目标干扰融合识别与抑制技术,通过速度量测统计分布特征提取、峰值邻域谱线抑制、谱线分布-信号幅度基本概率赋值构建及D-S证据理论融合判别实现了干扰的识别与抑制,仿真验证了该方法的有效性。

Target detection and identification are disrupted by concentrated false targets jamming for the plenty of false echoes.It is difficult for radar to identify and suppress the false signals because of the high correlativity between false signals and the true ones.In the presence of that problem,the fusion identification and suppression technique against false targets jamming is proposed based on the features of signals and data.And the concentrated false target signal is identified and suppressed depending on statistical distribution feature extraction of velocity measurements,spectral line suppression in peak neighborhood,basic probability assignment(BPA)construction based on spectral line distribution and signal amplitude,and fusion identification based on D-S evidence theory.Simulation results verify the validity of the proposed technique.