空域虚拟极化滤波原理及实验结果

Principle and experimental results of spatial virtual polarization filtering algorithm

摘要: 极化滤波利用干扰信号和目标信号的极化状态差异，能够有效对抗多种有源干扰样式。然而，大多数现役雷达还不具备极化测量能力，为此，利用天线固有的"空域极化特性"，研究了对抗有源压制干扰的"空域虚拟极化滤波"算法。建立了有源压制干扰及目标回波的接收信号模型，给出了算法的详细处理流程，进行了计算机仿真实验和雷达外场测量实验。实验结果表明：对于窄带噪声压制干扰，该算法在一定条件下的信干比（SIR）改善因子能达到30dB以上，验证了算法有效性。

Abstract: Based on the polarization differences of jamming signal and target echo,polarization filtering can effectively counter many active jamming types.However,most available radar systems still lack polarization measurement ability,so an anti-jamming algorithm named as spatial virtual polarization filtering is proposed using antenna spatial polarization characteristics.Received signal models of active jamming and target echo are given,and the detailed signal process is outlined.Finally,computer simulations and radar field experiments have been carried out.Experimental results show that signal interference ratio(SIR)improvement factor can be larger than 30 dB for narrow band noise suppressive jamming under certain condition,proving the validity of this algorithm.