For Full-Text PDF, please login, if you are a member of IEICE,|
or go to Pay Per View on menu list, if you are a nonmember of IEICE.
Block Adaptive Beamforming via Parallel Projection Method
Wen-Hsien FANG Hsien-Sen HUNG Chun-Sem LU Ping-Chi CHU
IEICE TRANSACTIONS on Communications
Publication Date: 2005/03/01
Print ISSN: 0916-8516
Type of Manuscript: PAPER
Category: Antennas and Propagation
adaptive beamforming, projection onto convex sets, iterative,
Full Text: PDF(1.1MB)>>
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 the minimum 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.