Proceedings of 1994 28th Asilomar Conference on Signals, Systems and Computers (1994)
Pacific Grove, CA, USA
Oct. 31, 1994 to Nov. 2, 1994
D.A. Abraham , Naval Underwater Syst. Center, New London, CT, USA
D.K. Dey , Naval Underwater Syst. Center, New London, CT, USA
Adaptive beamformers often rely on estimates of the interference covariance structure. When minimal data is used in estimating the unknown covariance matrix, performance may be improved by modifying the eigenvalues of the sample covariance matrix. The orthogonally invariant covariance estimators proposed by Dey and Srinivasan  and a constant risk, minimax estimator are applied to adaptive beamforming by considering the signal-to-interference ratio (SIR) loss factor of Reed, Mallett, and Brennan  where the average SIR loss is seen to decrease, and, to adaptive detection, by considering the adaptive detectors of Kelly  and Robey et. al.  where detection performance is seen to improve.<
array signal processing, covariance matrices, parameter estimation, interference (signal), eigenvalues and eigenfunctions, signal sampling, minimax techniques, adaptive signal detection, adaptive signal processing, losses
D. Abraham and D. Dey, "The application of improved covariance estimation to adaptive beamforming and detection," Proceedings of 1994 28th Asilomar Conference on Signals, Systems and Computers(ACSSC), Pacific Grove, CA, USA, 1995, pp. 677-681.