非理想极化条件下改进的PF-PS角度估计方法

Improved PF-PS estimator on the condition of non-ideal polarization

当存在主瓣压制式干扰时,覆盖时、频域的干扰信号使雷达难以检测、跟踪目标。极化域滤波方法虽然可以有效抑制干扰但同时引入了额外的测角偏差。针对这种偏差,本文作者近年提出一种主瓣干扰背景下无偏估计目标角度的极化滤波与极化综合方法(polarization filtering and polarization synthesis,PF-PS)。然而,真实环境中存在的极化非理想因素会影响PF-PS方法的性能,主要包括雷达天线的交叉极化响应以及跟踪过程中姿态改变导致的目标回波与干扰信号极化起伏。论文通过建立以上两种极化非理想因素的影响效应模型,进一步完善PF-PS算法结构,有效提高了该方法在主瓣干扰背景下对目标的连续跟踪性能。

When the main-lobe barrage interference exists, the target echo signal is submerged by the inter-ference , which leads to wrong detection and error tracking. Though the interference can be suppressed by po-larization filtering, a bias is introduced in the monopulse processing. For this problem, a novel method based on polarization filtering and polarization synthesis （PF-PS） is proposed in recent years. However, in real scenario, the performance of PF-PS is affected by non-ideal factors of polarization, which include antenna cross-polariza-tion response and the polarization instability of the target and the interference caused by posture changing. In this work, the PF-PS method is improved by modeling the two non-ideal factors of polarization, which improves the tracking performance of the proposed method in main-lobe barrage interference.