摘要
高分辨方位估计特征分解法是一类性能良好的方法，本文从水下阵列信号处理的实际应用出发，对这类方法进行了C30硬件实验研究，所得结果为高分辨技术的实际应用提供了重要依据文中构造了高分辨方位估计的C30硬件实验系统；并实现了高分辨方位估计的Pisarenko法、MUSIC法、Johnson法和最小摸（Mininorm）法；对高分辨实验系统进行了仿真实验和消声水池实验，并测试了各特征分解法的运行时间．结果表明。
Eigendecomposition algorithms for high resolution direction of arrival (DOA)estimation have good performance. Based on the practical application of underwater array signal processing, eigendecomposition algorithms for DOA estimation are studiedusing a C30-chip hardware. The result provides an important base for practical application of high resolution teqnique and design of real-time signal processing system. A highresolution C30-chip hardware experimental system is constructed. Pisarenko, MUSIC,Johnson and Mininorm methods for estimating DOAs are implemented in the systemA great number of computer simulation and the experiment in a big anechoic watertank show that the high resolution C3O-chip hardware experimental system has advancedstatistical properties and real-time properties in DOA estimation of underwater targets.
出处
《应用声学》
CSCD
北大核心
1998年第1期28-33,共6页
Journal of Applied Acoustics
关键词
方位估计
特征分解
水下目标
硬件
处理器
Bearing estimation, Eigendecomposition algorithms, C30-chip hardware experimental system, Experimental study
