色噪声环境下GTD模型的参数估计

本文将能够精确描述高频电磁散射的GTD信号模型引入MUSIC算法,并对MUSIC算法做了相应改进。提出利用特征分析方法中信号与噪声子空间正交特性,使改进后的MUSIC算法既能够精确估计目标散射中心位置,又能估计散射中心类型。本文采用基于四阶累量的MUSIC算法,在一定程度上克服了高斯色噪声对MUSIC算法的影响,拓宽了GTD 模型参数求解的条件。

The MUSIC-Based parametric Estimation of GTD Model

In this paper, the GTD model which can accurately describe high frequency electromagnetic back scattering is introduced into the MUSIC algorithm as its signal model, and the MUSIC algorithm is improved. The paper presents that we can utilize the orthogonal property between signal and noise subspace in the Eigen-Analysis method. The improved MUSIC algorithm can accurately estimate the type of the scattering centers as well as the position of them. The paper introduce the MUSIC algorithm based on the four-order cumulant (FOC-MUSIC) to restrain gauss color noise on the MUSIC algorithm in some extent, so the condition of estimating the parameters of the GTD model is relaxed.