非理想极化条件下改进的PF-PS角度估计方法

发布时间：2018-10-18 11:08

【摘要】：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。
[Abstract]:When the main lobe suppression jamming exists, the jamming signal in frequency domain makes it difficult for radar to detect and track targets. The polarimetric filtering method can suppress the interference effectively, but at the same time, the additional angular deviation is introduced. In view of this deviation, in recent years, the author proposes a method of polarization filtering and polarization synthesis for unbiased estimation of target angle under the background of main lobe interference (polarization filtering and polarization synthesis,PF-PS). However, the non-ideal polarization factors in real environment will affect the performance of PF-PS method, including the cross-polarization response of radar antenna and the polarization fluctuation of target echo and jamming signal caused by attitude change during tracking. In this paper, the influence effect models of the above two kinds of polarimetric non-ideal factors are established, and the structure of PF-PS algorithm is further improved, which effectively improves the performance of the method in continuous tracking of the target under the background of the main lobe interference.
【作者单位】：国防科学技术大学电子信息系统复杂电磁环境效应国家重点实验室;国防科学技术大学理学院;
【基金】：国家自然科学基金(61490692,61201336)资助课题
【分类号】：TN957.51

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