Joint estimation of signal and mutual coupling parameters based on spatially spread polarization sensitive array

Huiyong Li, Zihui Luo, Julan Xie, Jun Li
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引用次数: 2

Abstract

A reduced-dimensional MUSIC (RD-MUSIC) algorithm is proposed to reduce the computation of blind joint direction-of-arrival (DOA), polarization and the mutual coupling parameters estimation algorithm based on spatially spread polarization sensitive uniform linear array (ULA). This algorithm works in two steps. In the first step, DOA parameter and polarization parameters are separated from the mutual coupling through matrix transformation, which are then estimated by RD-MUSIC algorithm. In the second step, the mutual coupling coefficients are estimated via eigen-decomposition with modulus constraint. Simulation results show the effectiveness of the proposed method for joint signal parameters and mutual coupling coefficients estimation.
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基于空间扩频极化敏感阵列的信号和互耦参数联合估计
为了减少盲联合到达方向(DOA)和偏振的计算量,提出了一种降维MUSIC (RD-MUSIC)算法,以及基于空间扩频偏振敏感均匀线性阵列(ULA)的互耦参数估计算法。这个算法分为两步。首先,通过矩阵变换将DOA参数和极化参数从相互耦合中分离出来,然后利用RD-MUSIC算法进行估计;第二步,在模约束下通过特征分解估计相互耦合系数。仿真结果表明了该方法对联合信号参数和互耦系数估计的有效性。
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