基于时延分数阶相关函数时空处理的子空间测向算法

A Subspace-Bsed Direction Finding Algorithm Using Temporal and Spatial Processing of Time Lag Fractonal Order Correlation Function

本文定义了一种时延分数阶相关函数和阵列输出信号的时延分数阶相关矩阵,在此基础上,提出了一种新的基于时延分数阶相关函数时空处理的了空间测向算法一时延分数阶相关MUSIC(TLFOC-MUSIC)算法。该算法在进行空域处理的同时,引入了时域处理,弥补了空域信息的不足,更充分地开发了空间信号中的有用信息,提高了算法的稳健性和测向的性能,对SαS噪声和干扰有较强的抑制作用。计算机仿真实验结果验证了该算法的有效性和稳健性。

In this paper, We define a time lag fractional order correlation function and time lag fractional order correlation matrix of array output signals. Based on the temporal and spatial processing of time lag fractional order correlation function, a novel subspace-based direction finding algorithm-time lag fractional order correlation MUSIC (TLFOC-MUSIC) algorithm is proposed. The method introduces time domain processing as well as space domain processing, which remedies the lack of space domain information. Thus, the algorithm develops useful information of signals more sufficiently, robustness and performance of direction finding is improved. The approach can suppress the Sec S noise and interfering signals. The simulation results show the effectiveness and robustness of the algorithm.