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Content Provider | IEEE Xplore Digital Library |
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Author | Wen-Hsien Fang Sen-Hsien Hung Kuo-Hsiung Wu |
Copyright Year | 2005 |
Description | Author affiliation: Dept. of Electron. Eng., Nat. Taiwan Univ. of Sci. & Technol., Taipei, Taiwan (Wen-Hsien Fang) |
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 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. |
Starting Page | 983 |
Ending Page | 986 |
File Size | 192198 |
Page Count | 4 |
File Format | |
ISBN | 0780390687 |
DOI | 10.1109/WCACEM.2005.1469748 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2005-04-03 |
Publisher Place | USA |
Access Restriction | Subscribed |
Rights Holder | ACES |
Subject Keyword | Marine technology Interference suppression Design engineering Array signal processing Computational modeling Oceans Distortion Jamming Power generation Convergence |
Content Type | Text |
Resource Type | Article |
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