华中科技大学学报（自然科学版）2013，Vol.41Issue(4)：46-50,5.
一种近场和远场混合信号源的分类和定位算法
Algorithm to classify and locate near-field and far-field mixed sources
摘要
Abstract
By separating the range and direction of arrival (DOA) information of the mixed sources, a new array steering vector was obtained. And then based on the new array steering vector and multiple signal classification (MUSIC), all DOAs of the mixed sources were obtained through only one-dimensional search. The near-field sources, which had the same DOA as the near-field sources, was separated from the far-field sources by the estimated DOAs. Finally, by means of the estimated DOAs of all near-field sources, the range parameter of each near-field source was obtained. The algorithm needs neither high-order statistics nor two-dimensional search (only one-dimensional search), and does not need pairing parameters too. For by means of only one-dimensional search, the algorithm has low computational cost. Numerical experiment results show the performance of the algorithm.关键词
到达角/参数估计/计算效率/混合源定位/近场与远场源Key words
arrival direction/ parameter estimation/ computational efficiency/ mixed sources localization/ near-fied and far-field sources分类
信息技术与安全科学引用本文复制引用
蒋佳佳,段发阶,陈劲,常宗杰..一种近场和远场混合信号源的分类和定位算法[J].华中科技大学学报（自然科学版）,2013,41(4):46-50,5.基金项目
国家自然科学基金资助项目(51275349,50375110) （51275349,50375110）
教育部新世纪优秀人才支持计划资助项目(NECT) （NECT）
天津市科技支撑计划重点项目资助(11ZCKFGX03600) （11ZCKFGX03600）
天津市科技兴海专项基金资助项目(KX2010-0006). （KX2010-0006）
