基于MP的近场源方位角、仰角、距离和极化参量联合估计算法

Joint estimation method of azimuth,elevation,range and polarization for near field sources based on MP algorithm

提出了一种基于十字极化阵列的近场源五维参数联合估计方法。采用中心对称的十字阵列结构,阵列由与坐标轴方向一致的偶极子对组成,分别感应x轴方向和y轴方向的电场分量。利用极化阵列的接收数据,构造出六对矩阵束,并通过对矩阵束广义特征值分解得到的广义特征值来联合估计信源的方位角、仰角、距离和极化等参数。算法不需要谱峰搜索,广义特征值包含参数配对信息,配对方法简单,且不需要构造高维累积量矩阵,适用于加性高斯噪声环境(白噪声和色噪声),仿真试验证明了该算法的有效性。

A five dimensional parameter joint estimation method for near field sources was proposed based on cross array.The method adopts central-symmetric cross array,each array consists of orthogonal dipole-pairs with the same axis direction.The dipole-pairs measure the x-axis and y-axis electric-field components of the near-field signals.Six matrixes pencils can be constructed by receiving polarized array data.The range,elevation,azimuth and polarization parameters of the signal sources can be jointly estimated by generalized eigenvalue of the matrix pencil decomposition.The proposed method does not require any spectral peak search,does not construct high-dimensional cumulant matrix,and has simple parameter pairing.It can be applied to additive Gaussian noise environment.The performance of the method is verified by computer simulation.