%0 Journal Article
%T A cumulant-based parameter estimation algorithm for near-field sources<br>
%J 自然科学进展
%D 2007
%I 
%X To efficiently use the array aperture and avoid the complicated parameter pairing computation, this paper proposes a new cumulant-based algorithm for localizing near-field narrowband sources. Firstly, this algorithm proposes a symmetric uniform linear array (ULA), and constructs three cumulant matrices by using the fourth-order cumulants of some properly chosen sensor outputs; secondly, unlike the conventional parallel factor (PARAFAC) analysis models in data or subspace domain, it forms a three-way array (TWA) in the fourth-order cumulant domain using the three matrices, and analyzes the uniqueness of its low-rank decomposition; thirdly, it jointly estimates the frequency, the direction-of-arrival (DOA), and the range of each near-field source from the matrices via the low-rank decomposition of the TWA. The simulation results are presented to validate the performance of our proposed method.
%K array signal processing
%K localization
%K cumulant
%K parallel factor (PARAFAC) analysis
%K three-way array (TWA)<br>
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=01BA20E8BA813E1908F3698710BBFEFEE816345F465FEBA5&cid=96E6E851B5104576C2DD9FC1FBCB69EF&jid=504AF8C1E5476CA7C4EC9DF6FEAC14AC&aid=0D8F063EE55C1925B4D904ADFC3E6E9C&yid=A732AF04DDA03BB3&vid=BCA2697F357F2001&iid=5D311CA918CA9A03&sid=F3FF3E69C64937E9&eid=FE2777263ADBA5FE&journal_id=1002-008X&journal_name=自然科学进展&referenced_num=0&reference_num=0