基于特征分解的多目标定位系统仿真实验研究

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

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。

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 mt^ltiple 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.