基于降维的极化敏感阵列幅相误差自校正算法  

Reduced-dimension Self-correction Algorithm for Amplitude-phase Error in Polarization-sensitive Array

作　　者：林潇 薛敬宏[1] 乔晓林[1] LIN Xiao;XUE Jinghong;QIAO Xiaolin(Institute of Information Engineering,Harbin Institute of Technology,Weihai 264209,China)

机构地区：[1]哈尔滨工业大学信息工程研究所,山东威海264209

出　　处：《现代雷达》2020年第10期51-56,共6页Modern Radar

基　　金：山东省重点研发计划(军民科技融合)资助项目。

摘　　要：传统的极化域MUSIC算法当存在幅相误差扰动时会引起算法性能下降,并且在估计波达方向(DOA)和极化参数时需要四维谱峰搜索,计算量巨大。针对此问题,文中提出一种适用于任意极化敏感阵型的DOA-极化-误差的降维迭代自校正算法。首先将传统自校正算法推广至极化域,把DOA-极化和误差分离开,每次迭代分为估计误差参数和估计DOA-极化联合参数;然后在每次迭代过程中采用基于矩阵秩亏损的降维MUSIC算法来联合估计DOA和极化参数,将四维搜索优化成只与方位角和俯仰角有关的二维搜索,并利用搜索结果直接计算出极化参数;最后固定DOA-极化参数,问题转化为二次型极值问题,完成对幅相误差的估计,经过多次迭代算法可收敛。仿真实验验证了算法的有效性,仿真结果表明本文算法具有良好的误差校正效果。The traditional polarization domain MUSIC algorithm will cause the performance degradation of the algorithm in the presence of gain-phase error,and it requires a four-dimensional spectral search when estimating DOA and polarization parameters,which is a huge amount of computation.Aiming at this problem,this paper proposes a DOA-polarization-error reduced-dimension iterative self-correction algorithm for arbitrary polarization-sensitive formations.First,the traditional self-correction algorithm is extended to the polarization domain,and DOA-polarization and error are separated.Each iteration is divided into estimated error parameters and estimated DOA-polarization joint parameters;Then,a reduced-dimension MUSIC algorithm based on matrix rank loss is used to jointly estimate the DOA and polarization parameters in each iteration,the four-dimensional search is optimized into a two-dimensional search only related to the azimuth and elevation angle,and directly calculate the polarization parameters using the search results;Finally,when the DOA-polarization parameters are fixed,the problem is transformed into a quadratic extremum problem,and the estimation of the gain-phase errors is completed.The algorithm can converge after multiple iterations.Simulation experiments verify the effectiveness of the algorithm.Simulation results show that the algorithm in this paper has a good error correction effect.

关 键 词：波达方向估计 极化敏感阵列 误差校正 降维算法 参数估计 

分 类 号：TN957[电子电信—信号与信息处理]