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Minimum geometric power distortionless response beamforming against heavy-tailed noise of unknown statistics |
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| Authors: | WenchangWang Lei Li Chunjing Liu Feng Liu |
| Affiliation: | 1. School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu 610054, P. R. China;National Information Control Laboratory, Chengdu 610036, P. R. China 2. School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu 610054, P. R. China 3. National Information Control Laboratory, Chengdu 610036, P. R. China |
| Abstract: | 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 geometric 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-and-interference ratio.Moreover,the optimum weight vector is obtained by using a new iteration process.The simulation results prove that the new method is effective. |
| Keywords: | array signal processing beamforming geometric power impulsive noise logarithmic moments |
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