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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作  者:Wenchang Wang Lei Li Chunjing Liu Feng Liu 

机构地区:[1]School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu 610054, E R. China [2]National Information Control Laboratory, Chengdu 610036, P. R. China

出  处:《Journal of Systems Engineering and Electronics》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)

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.

关 键 词:array signal processing BEAMFORMING geometric power impulsive noise logarithmic moments. 

分 类 号:O18[理学—数学] TN911.7[理学—基础数学]

 

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