The Optimal Loading of Robust Adaptive Beamforming Based on Worst-Case Performance Optimization

In this paper the robust adaptive beamforming (RABF) based on worst-case performance optimization is investigated. This method belongs to the class of diagonal loading approaches and determines the loading level by optimizing the worst-case performance. Other than solving the optimal loading by iter...

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Bibliographic Details
Published in2006 6th International Conference on ITS Telecommunications pp. 353 - 357
Main Authors Lin Jing-Ran, Peng Qi-Cong
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.06.2006
Subjects
Array signal processing
Closed-form solution
Computational complexity
Degradation
Digital signal processing
Interference
Optimization methods
Robustness
Sensor arrays
White noise
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Summary:In this paper the robust adaptive beamforming (RABF) based on worst-case performance optimization is investigated. This method belongs to the class of diagonal loading approaches and determines the loading level by optimizing the worst-case performance. Other than solving the optimal loading by iteration, as many existing methods in this field did, we derive a simple closed-form solution to the optimal loading after some approximations. In addition to reducing the computational complexity, this simple analytical solution reveals how different factors affect the optimal loading. Numerical examples confirm that the closed-form expression is a very accurate approximation to the actual optimal loading
ISBN:0780395867
9780780395862
DOI:10.1109/ITST.2006.288911