一种基于极化敏感阵列的近场源五维参数估计方法

Jointly Estimating 5-D Parameters of Near-Field Sources Using Polarization Sensitive Array

该文提出了一种基于四阶累积量近场窄带信源参数新的估计方法。该方法利用极化敏感阵列和多重旋转矢量不变技术估计信源五维参数(载波频率、方位角、俯仰角、距离和极化参数),无需谱峰搜索和多维参数匹配,且适用于加性高斯噪声环境。此外,该方法由于采用了非中心对称结构的阵列,可有效减少阵列孔径损失。仿真实验验证了该方法的有效性。

A new method for near-field source parameter estimation based on fourth-order cumulant is proposed in this paper.The presented method uses a polarization sensitive array and the multiple-rotational invariance to estimate 5-D parameters(carrier frequency,azimuth,elevation,range and polarization)of sources.Without spectral peak searching or multiple parameters pairing,the method can be applied to additive Gaussian noise environments.Furthermore,this method can reduce the loss of array aperture effectively by using a non-centro-symmetric array.The performance of the proposed method is verified by computer simulations.