基于空域调制效应的干扰极化参数估计

doi:10.3969/j.issn.0255-8297.2015.05.006

应用科学学报 ›› 2015, Vol. 33 ›› Issue (5): 518-526.doi: 10.3969/j.issn.0255-8297.2015.05.006

基于空域调制效应的干扰极化参数估计

刘文钊^1,2, 戴幻尧^1,2, 黄振宇², 崔建岭²

1. 电子信息系统复杂电磁环境效应国家重点实验室, 河南洛阳 471003;
2. 中国洛阳电子装备试验中心, 河南洛阳 471003

收稿日期:2015-04-08 修回日期:2015-06-24 出版日期:2015-09-30 发布日期:2015-09-30
通信作者: 戴幻尧,博士,助理研究员,研究方向:雷达极化干扰、反干扰新技术,E-mail:leoneast@163.com E-mail:leoneast@163.com
基金资助:
国家自然科学基金(No.61301236, No.61401469)

Polarization Estimation of Received Interference Signal Based on Spatial Modulation Effect

LIU Wen-zhao^1,2, DAI Huan-yao^1,2, HUANG Zhen-yu², CUI Jian-ling²

1. State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System, Luoyang 471003, Henan Province, China;
2. Luoyang Electronic Equipment Testing Center, Luoyang 471003, Henan Province, China

Received:2015-04-08 Revised:2015-06-24 Online:2015-09-30 Published:2015-09-30

摘要/Abstract

摘要： 干扰极化估计精度是影响雷达极化抗干扰能力的重要因素,而雷达天线空域极化特性存在一定的病态性,使来波极化估计的最小二乘解在病态情况下变得不稳定. 针对最小二乘方法估计来波极化所存在的病态性问题,提出一种改进极化矢量估计的约束最小二乘方法.首先分析影响来波极化估计稳定性的因素,针对具体的天线型式给出病态情况下的计算机仿真结果,推导了带二次约束的极化估计最小二乘解并给出了算法流程. 仿真结果表明了改进极化估计均方误差的有效性,该方法可显著提高干扰极化估计精度,提高雷达极化抗干扰能力.

关键词: 极化抗干扰, 极化估计, 最小二乘方法, 病态性

Abstract: Precision of interference polarization estimation is a major factor influencing radar polarization anti-jamming capability. To a certain extent, the spatial polarization characteristic (SPC) of radar is ill-conditioned, resulting in unstable solution to the estimation of received wave polarization. A least squares method with a quadratic constraint is presented to estimate polarization of the received wave. It treats the ill-conditioning problem in estimating the polarization state based on least square methods. Factors affecting stability of polarization estimation are analyzed, with computer simulation results in ill-conditioned cases for particular antenna forms. Theoretical analysis is then made and algorithmic steps given according to the principle of the proposed method. The simulation shows that the method can significantly reduce variance of polarization estimation so as to improve the estimation accuracy, useful in improving radar polarization anti-jamming capability.

Key words: polarization anti-jamming, polarization estimation, least squares method, illconditioning

中图分类号:

TN95

刘文钊, 戴幻尧, 黄振宇, 崔建岭. 基于空域调制效应的干扰极化参数估计[J]. 应用科学学报, 2015, 33(5): 518-526.

LIU Wen-zhao, DAI Huan-yao, HUANG Zhen-yu, CUI Jian-ling. Polarization Estimation of Received Interference Signal Based on Spatial Modulation Effect[J]. Journal of Applied Sciences, 2015, 33(5): 518-526.

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基于空域调制效应的干扰极化参数估计

Polarization Estimation of Received Interference Signal Based on Spatial Modulation Effect

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