哈尔滨工程大学学报2012，Vol.33Issue(9)：1132-1137,6.DOI:10.3969/j.issn.1006-7043.201111040
基于实值信号子空间的虚拟阵列解相干算法
A virtual array decorrelation algorithm based on thereal signal subspace
摘要
Abstract
As for the problem of direction of arrival ( DO A ) estimation in a coherent environment, many existing methods do not work correctly when existing a coherent source. In view of this problem, a virtual array decorrelation algorithm based on the real-valued feature subspace method was proposed. With regard to this approach, a virtual sub-array can be constructed by the received data to de-correlate the coherent sources based on virtual array translation. Then a real signal subspace can be obtained by changing the complex number field into the real number field of the covariance matrix, and at last the direction of arrival (DO A) can be estimated by using the unitary ESPRIT method. With this method, the effective array aperture is not decreased, the spatial resolution of array is remained , and the estimation precision is high. The coherent signals are detected with sensors. The computation load is reduced by using the unitary ESPRIT method without a spectral peak search. This method has better performance in estimation accuracy; the results of simulation verified the effectiveness and superiority of the algorithm.关键词
相干信源/虚拟阵列/信号子空间/实数域ESPRIT/波达方向Key words
coherent signal/ virtual array/ signal subspace/ unitary ESPRIT/ direction of arrival分类
信息技术与安全科学引用本文复制引用
李欣,王伟,王咸鹏..基于实值信号子空间的虚拟阵列解相干算法[J].哈尔滨工程大学学报,2012,33(9):1132-1137,6.基金项目
新世纪优秀人才支持计划资助项目(NCET-11-0827) （NCET-11-0827）
国家自然科学基金资助项目(60704018) （60704018）
中国高校基本科研业务费专项基金资助项目(HEUCF121707 （）
HEUCF121706). （）
