基于模型误差的极化敏感阵列参数联合估计  

Joint Estimation of Polarization Sensitive Array Parameters Based on Model Error

作　　者：曹莹 马婷婷 薛心竹 朱栋强 玄晓波 CAO Ying;MA Tingting;XUE Xinzhu;ZHU Dongqiang;XUAN Xiaobo(Shanghai Radio Equipment Research Institute,Shanghai 201109,China)

机构地区：[1]上海无线电设备研究所,上海201109

出　　处：《制导与引信》2025年第1期15-23,共9页Guidance & Fuze

摘　　要：针对实际工程应用中导向矢量模型存在不可避免的模型误差的问题,提出了基于模型误差的极化敏感阵列的波达方向(direction of arrival,DOA)参数和极化参数联合估计算法——信号子空间匹配(signal subspace matching,SSM)算法,推导了算法的代价函数,为了减小算法的计算量,给出了SSM迭代解。与传统的极化多重信号分类(multiple signal classification,MUSIC)算法和确定性最大似然(deterministic maximum likelihood,DML)算法进行了对比仿真实验。仿真实验结果表明,所提算法具有较优异的参数估计性能,且具有切实的工程应用价值。In response to the problem of inevitable model errors in steering vector models in practical engineering applications,a joint estimation algorithm of direction of arrival(DOA)and polarization parameters for polarization sensitive arrays based on model errors-signal subspace matching(SSM)algorithm was proposed.The cost function of the algorithm was derived,and an iterative solution of SSM was provided to reduce the computational complexity of the algorithm.Comparative simulation experiments were conducted with traditional polarization multiple signal classification(MUSIC)algorithm and deterministic maximum likelihood(DML)algorithm.The simulation experiment results show that the proposed algorithm has excellent parameter estimation performance and practical engineering application value.

关 键 词：模型误差 极化敏感阵列 波达方向估计 极化参数估计 

分 类 号：TN957.51[电子电信—信号与信息处理]