未知噪声背景下基于数据阵共轭重构的MUSIC角估计算法

Unknown Noise-background Multiple Signal Classification Algorithm for Estimation of Angles on Reconstructed Data Matrix with Conjugated Data

详细讨论了在未知噪声背景下 ,利用接受数据阵及其共轭重构得到新的数据阵 ,并借助数据阵的奇异值分解实现UMMUSIC算法 (未知噪声背景下的修正多信号分类法 ) ,这将有助于改善估计的分辨性及改善协方差阵特征值的分布 ;同时能更有效地应用于实际 ,并给出了验证理论分析的计算机仿真结果。

This paper discusses an algorithm for an unknown noise background estimation of angles. The method uses a spectrum received data matrix and decomposes its conjugated data matrix based on Jacobi algorithm ,which is useful to improve the performance of the signal estimation and easy to realize with VLSI.Finally,as a test,the paper presents the simulation.