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一种无须参数配对的近场源定位新算法
引用本文:梁军利,王诗俊,高丽,杨树元,张军英. 一种无须参数配对的近场源定位新算法[J]. 电子学报, 2007, 35(6): 1122-1127
作者姓名:梁军利  王诗俊  高丽  杨树元  张军英
作者单位:中国科学院声学研究所,北京,100080;中国科学院研究生院,北京,100039;中国科学院声学研究所,北京,100080;西安电子科技大学雷达重点实验室,陕西西安,710071
摘    要:本文提出了一种适用于高斯白噪声环境的近场窄带信源定位新算法.该算法利用阵元输出计算的3个二阶统计量矩阵在二阶统计量域构造平行因子分析模型,分析了该模型低秩分解的唯一性,并从其分解得到的多个矩阵中联合估计信源距离、频率及到达角.该算法无须参数配对,无须谱峰搜索,计算简单.仿真结果表明该算法是有效的.

关 键 词:阵列信号处理  近场源  定位  平行因子分析  二阶统计量  三面阵
文章编号:0372-2112(2007)06-1122-06
修稿时间:2006-04-182006-10-10

A Novel Near-Field Source Localization Algorithm Without Pairing Parameters
LIANG Jun-li,WANG Shi-jun,GAO Li,YANG Shu-yuan,ZHANG Jun-ying. A Novel Near-Field Source Localization Algorithm Without Pairing Parameters[J]. Acta Electronica Sinica, 2007, 35(6): 1122-1127
Authors:LIANG Jun-li  WANG Shi-jun  GAO Li  YANG Shu-yuan  ZHANG Jun-ying
Abstract:This paper presents a localization algorithm for near-field narrowband sources in the additive white Gaussian noise environment. Firstly, by use of three second-order statistics (SOS) matrices obtained from array outputs, a parallel factor (PARAFAC) analysis model is constructed in the SOS domain; secondly, the uniqueness of the model's low-rank decomposition is analyzed;thirdly,the range,the frequency,and the direction-of-arrival (DOA) of each source are estimated from the decomposed matrices of the model.The proposed method, which does not really require pairing parameters or searching spectral peaks, can be implemented efficiently.Finally,the simulation results are presented to validate the performance of the proposed method.
Keywords:array signal processing  near field source  localization  parallel factor (PARAFAC) analysis  second-order statis-tics(SOS)  three-way array(TWA)
本文献已被 CNKI 维普 万方数据 等数据库收录!
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