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Minimum geometric power distortionless response beamforming against heavy-tailed noise of unknown statistics 被引量:3

Minimum geometric power distortionless response beamforming against heavy-tailed noise of unknown statistics
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摘要 A minimum geometric power distortionless response beamforming approach against impulsive noise (including all α- stable noise) of unknown statistics is proposed. Due to that definite logarithmic moments require no priori knowledge of impulsive noise, this new beamformer substitutes the logarithmic moments for the second-order moments and iteratively minimizes the "ge- ometric power" of the beamformer.s output snapshots, subjected to a linear constraint. Therefore, the proposed beamformer can provide significantly higher output geometric signal-to-noise-andinterference ratio. Moreover, the optimum weight vector is obtained by using a new iteration process. The simulation results prove that the new method is effective. A minimum geometric power distortionless response beamforming approach against impulsive noise (including all α- stable noise) of unknown statistics is proposed. Due to that definite logarithmic moments require no priori knowledge of impulsive noise, this new beamformer substitutes the logarithmic moments for the second-order moments and iteratively minimizes the "ge- ometric power" of the beamformer.s output snapshots, subjected to a linear constraint. Therefore, the proposed beamformer can provide significantly higher output geometric signal-to-noise-andinterference ratio. Moreover, the optimum weight vector is obtained by using a new iteration process. The simulation results prove that the new method is effective.
出处 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2011年第5期749-753,共5页 系统工程与电子技术(英文版)
基金 supported by the National High Technology Research and Development Program of China (863 Program) (2007AA701403)
关键词 array signal processing BEAMFORMING geometric power impulsive noise logarithmic moments. array signal processing, beamforming, geometric power, impulsive noise, logarithmic moments.
作者简介 Corresponding author. Wenchang Wang was born in 1982. He received the B.S. degree in electronic engineering from Sichuan Normal University in 2007. He is currently studying for the M.S. degree in electronic engineering from University of Electronic Science and Technology of China and National Information Control Laboratory. His research interests include adaptive signal processing and array signal processing. E-mail:wangwnchang@163.comLei Li was born in 1968. She is a professor of the College of Electronic Engineering, University of Electronic Science and Technology of China. Her research interests include adaptive signal processing and array signal processing. E-mail:lilei@ ee.uestc.edu.cnChunjing Liu was born in 1985. He is a doctor in electronic engineering of Harbin Engineering Uni- versity and National Information Control Laboratory. His research interests include adaptive signal processing and array signal processing. E-mall: lcj2212916@ 163.comFeng Liu was born in 1974. He is a doctor in electronic engineering of Xi'an Jiaotong University and a senior engineer of National Information Control Laboratory now. His research interests include adaptive signal processing, CDMA and array signal processing. E-mail: liufeng72@ sohu.com
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