数据采集与处理2011，Vol.26Issue(5)：499-502,4.
基于奇异值分解的方向估计改进方法
Modified Method for Bearing Estimation Based on Singular Value Decomposition
摘要
Abstract
The modified singular value decomposition method based on signal phase matching (MSVDSPM) is presented to make the root mean square error of the direction of arrival (DOA) estimation of singular value decomposition based on signal phase matching (SVDSPM) close to the Cramer-Rao bound at high signal-to-noise ratio. Firstly, the sensor outputs are transformed to the frequency domain. Then the reciprocal of the square summation of the dis tance between the sensor output spectra and their mean value at the center frequency bin is tak en as the DOA estimator. The simulation results show that the MSVDSPM has a better perfor mance in DOA estimation than that of SVDSPM. MSVDSPM is a beamforming method pre serving the sharp peak of the SVDSPM spectrum in the case of single source. The beam width of the MSVDSPM spectrum is independent of the analysis frequency.关键词
波达方向/波束形成/奇异值分解/相位匹配Key words
direction of arrival (DOA)/beamforming/singular value decomposition/phasematching分类
信息技术与安全科学引用本文复制引用
陈志菲,孙进才,侯宏..基于奇异值分解的方向估计改进方法[J].数据采集与处理,2011,26(5):499-502,4.基金项目
国家自然科学基金(60672136)资助项目. （60672136）
