Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/128910
Title: An adaptive beamformer based on adaptive covariance estimator
Authors: Ong, L.T. 
Issue Date: 2014
Source: Ong, L.T. (2014). An adaptive beamformer based on adaptive covariance estimator. Progress In Electromagnetics Research M 36 : 149-160. ScholarBank@NUS Repository.
Abstract: Based on the Minimum Variance Distortionless Response-Sample Matrix Inversion (MVDR-SMI) method, we propose a novel Adaptive Covariance Estimator (MVDR-ACE) beamformer for adaptation to multiple interference environments. The MVDR-ACE beamformer iteratively determines a minimum number of data samples required while maintaining its average signal-to-interference-noise to be within 3dB from the performance of a theoretical optimum MVDR beamformer and meeting an instantaneous interference cancellation requirement. Finally, based on numerical simulations, we analyze and validate the performance of the MVDR-ACE beamformer. We also compare its performance to the conventional MVDR-SMI beamformer that uses a fixed data sample in its covariance estimator.
Source Title: Progress In Electromagnetics Research M
URI: http://scholarbank.nus.edu.sg/handle/10635/128910
ISSN: 10988963
Appears in Collections:Staff Publications

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