Robust Adaptive Beamforming Algorithm Based on Variable Diagonal Loading
Yinghua Han
Abstract
Yinghua Han
Abstract
The traditional algorithms are known to be very sensitive to slight mismatches between the presumed and actual signal steering vectors.In this paper,a novel approach based on the variable diagonal loading to robust adaptive beamforming is proposed.To improve robustness,the output SINR is minimized to obtain the signal steering vector including additional nonlinear constraints and the parameter in the optimal solution can be solved accurately.To decrease computation complexity,the rocursive weight vector based on the variable diagonal loading is obtained by recursive least squares and Taylor series.The proposed algorithm reduces the influence of the mismatches,decreases computation complexity,develops online implementations,provides an improved robustness against the mismatches and makes the mean output array SINR consistently close to the optimal one.Simulation results are present to demonstrate that the per- formance of robust adaptive beamforming algorithm can outperform than that of the traditional algorithms.
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The traditional algorithms are known to be very sensitive to slight mismatches between the presumed and actual signal steering vectors.In this paper,a novel approach based on the variable diagonal loading to robust adaptive beamforming is proposed.To improve robustness,the output SINR is minimized to obtain the signal steering vector including additional nonlinear constraints and the parameter in the optimal solution can be solved accurately.To decrease computation complexity,the rocursive weight vector based on the variable diagonal loading is obtained by recursive least squares and Taylor series.The proposed algorithm reduces the influence of the mismatches,decreases computation complexity,develops online implementations,provides an improved robustness against the mismatches and makes the mean output array SINR consistently close to the optimal one.Simulation results are present to demonstrate that the per- formance of robust adaptive beamforming algorithm can outperform than that of the traditional algorithms.
Key concepts: Robustness (evolution), Diagonal, Adaptive beamformer, Algorithm, Computation, Beamforming, Control theory (sociology), Computational complexity theory