双极化面阵的快速波达方向估计算法  

A Fast Estimation Algorithm for the Direction-of-Arrival ofDouble Polarized Surface Arrays

作　　者：韩乐天 司伟建[1,2] 曲明超 Han Letian;Si Weijian;Qu Mingchao(College of Information and Communication,Harbin Engineering of University,Harbin 150001,China;Key Laboratory of Advanced Marine Communication and Information Technology,Ministry of Industry and Information Technology,Harbin Engineering University,Harbin 150001,China)

机构地区：[1]哈尔滨工程大学信息与通信工程学院,哈尔滨150001 [2]哈尔滨工程大学先进船舶通信与信息技术工业和信息化部重点实验室,哈尔滨150001

出　　处：《航空兵器》2023年第1期120-126,共7页Aero Weaponry

基　　金：国家自然科学基金项目(61801143,61971155)。

摘　　要：针对目前极化敏感面阵空域-极化域联合谱估计运算量大、耗时长的问题,提出一种降维求根MUSIC(Multiple Signal Classification)优化算法。通过对接收信号进行降维处理,提出新的求解模型将传统四维MUSIC转化为两个一维求根MUSIC求解空域波达方向和引用已求解出的空域信息结合拉格朗日乘子法解决来波信号极化信息估计问题。相比传统的4D-MUSIC和秩亏MUSIC,所提算法在不损失估计精度的前提下提高了运算速度,降低了运算复杂度,无需谱峰搜索过程,消除了因搜索步长而导致的量化误差。对日后大规模阵列计算及MIMO(Multiple Input Multiple Output)雷达引入提供快速求解方法。仿真实验表明,所提算法在低信噪比0 dB下空域误差约为0.85°,速度相比秩亏MUSIC提升了约64.7%,验证了该算法的有效性和高精度性。In order to solve the problem of large computation and high operation complexity in spatial spectrum estimation combined with polarization domain spectrum estimation of polarization sensitive surface array,a dimension reduction root MUSIC(Multiple Signal Classification)optimization algorithm is proposed.The received signal is processed by dimensionality reduction,and a new solution model is proposed to transform the traditional four-dimensional MUSIC into two one-dimensional root MUSIC to solve the spatial wave arrival direction,and the polarization information estimation problem of the wave signal is solved by using the spatial information and Lagrange multiplier method.Compared with the traditional 4D-MUSIC and rank deficit MUSIC,the algorithm improves the calculation speed and reduces the calculation complexity without losing the estimation accuracy,eliminates the spectrum peak search process,and eliminates the quantization error caused by the search step size.It provides a fast solution for large-scale array calculation and multiple input multiple output(MIMO)radar introduction.Simulation results show that the algorithm is effective and high precision.The spatial error of the proposed algorithm is about 0.85°at the low SNR of 0 dB,and the speed is improved by about 64.7%compared with the rank-deficient MUSIC.

关 键 词：极化敏感面阵 空域-极化域联合谱估计 MUSIC MIMO 拉格朗日乘子法 信号处理 

分 类 号：TJ760[兵器科学与技术—武器系统与运用工程]