| 冯西安,黄建国,谢一清.水下目标高分辨方位估计特征分解法的C30硬件实验研究[J].,1998,17(1):28-33 |
| 水下目标高分辨方位估计特征分解法的C30硬件实验研究 |
| Experimental study with a C30-chip hardware on eigendecomposition algorithms for high resolution DOA estimation of underwater targets |
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| 中文摘要: |
| 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，高分辨C30实验系统表现了良好的方位估计统计性能和实时性能 |
| 英文摘要: |
| 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. |
| DOI：10.11684/j.issn.1000-310X.1998.01.007 |
| 中文关键词: 方位估计 特征分解 C30硬件实验系统 实验研究 |
| 英文关键词: Bearing estimation Eigendecomposition algorithms C30-chip hardware experimental system Experimental study |
| 基金项目: |
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