A DOA Estimation Approach under Nonuniform White Noise

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Title:	A DOA Estimation Approach under Nonuniform White Noise
Authors:	Chang, Ci-Chung;Hung, Jui-Chung;洪瑞鍾;Chang, Ann-Chen
Contributors:	嶺東科技大學資訊科技系;臺北市立教育大學資訊科學系
Keywords:	adaptive array;direction-of-arrival;maximum-likelihood;signal subspace;nonuniform noise
Date:	2011-03-01
Issue Date:	2017-07-24 11:28:03 (UTC+8)
Abstract:	The letter deals with direction-of-arrival (DOA) estimation under nonuniform white noise and moderately small signal-to-noise ratios. The proposed approach first uses signal subspace projection for received data vectors, which form an efficient iterative quadratic maximum-likelihood (IQML) approach to achieve fast convergence and high resolution capabilities. In conjunction with a signal subspace selection technique, a more exact signal subspace can be obtained for reducing the nonuniform noise effect. The performance improvement achieved by applying the proposal to the classic IQML method is confirmed by computer simulations.
Relation:	IEICE Trans. communications , vol. E94-B, pp.381-383
Appears in Collections:	[Department of Computer Science] Periodical Articles

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