基于特征分解的多目标定位系统仿真实验研究

基于特征分解的高分辨方位估计（DOA）算法是一类性能良好的目标定位方法,具有良好的工程应用前景。针对水下阵列信号处理的实际应用,在多目标定位的多处理器硬件系统中,实现了阵元域和波束域两类高分辨DOA算法,在VisualDSP＋＋仿真环境中对水池实验数据进行了仿真实验研究,对算法的运算时间和方位估计的性能进行了分析。结果表明,该系统能够较好的完成各种高分辨方位估计算法,具有良好的方位估计性能和实时处理能力,波束域方法性能优越,满足了工程技术要求。

Simulation Experimental Study on Multi-target Location System Based on Eigendecomposition

High-resolution direction-of-arrival (DOA) estimation algorithms based on eigendecomposition have a promising future in engineering application for their good performances. Aiming at the practical application of underwater array signal processing,the high-resolution DOA algorithms in array domain and in beam domain were implemented on the hardware system with multiple processors for multi-target location. Simulation experimental study based on VisualDSP was made to analyze the wasting time and their performances of DOA estimation with pool experiment data. Simulation results show that the system realizes the high-resolution DOA estimation algorithms efficiently,has the good performance of DOA estimation,and has the good capability in real-time processing. And the algorithm in beam domain has the predominant performances to DOA,so as to satisfy the engineering requirements.