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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/28418

Title: Block Adaptive Beamforming via Parallel Projection Method
Authors: Wen-Hsien FANG;Hsien-Sen HUNG;Chun-Sem LU;Ping-Chi CHU
Contributors: NTOU:Department of Electrical Engineering
Keywords: adaptive beamforming;projection onto convex sets;iterative
Date: 2005
Issue Date: 2011-10-21T02:37:30Z
Publisher: IEICE TRANSACTIONS on Communications
Abstract: Abstract:This paper addresses a simple, and yet effective approach to the design of block adaptive beamformers via parallel projection method (PPM), which is an extension of the classic projection onto convex set (POCS) method to inconsistent sets scenarios. The proposed approach begins with the construction of the convex constraint sets which the weight vector of the adaptive beamformer lies in. The convex sets are judiciously chosen to force the weights to possess some desirable properties or to meet some prescribed rules. Based on the minimum variance criterion and a fixed gain at the look direction, two constraint sets including theminimum variance constraint set and the gain constraint set are considered. For every input block of data, the weights of the proposed beamformer can then be determined by iteratively projecting the weight vector onto these convex sets until it converges. Furnished simulations show that the proposed beamformer provides superior performance compared with previous works in various scenarios but yet in general with lower computational overhead.
Relation: E88-B(3), pp.1227-1233
URI: http://ntour.ntou.edu.tw/handle/987654321/28418
Appears in Collections:[電機工程學系] 期刊論文

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