Adaptive beamforming methods are known to degrade in the presence of both signal steering vector errors and interference nonstationarity. In this paper, we develop a new approach to adaptive beamforming which is jointly-robust against these two phenomena. Our approach is based on the optimization of the worst-case beamforming performance. A computationally efficient convex optimization based algorithm is proposed to compute the beamformer weights. Computer simulations compare the performance of our algorithm with other robust adaptive beamforming techniques.
|Original language||English (US)|
|Number of pages||4|
|Journal||ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings|
|State||Published - 2003|
|Event||2003 IEEE International Conference on Accoustics, Speech, and Signal Processing - Hong Kong, Hong Kong|
Duration: Apr 6 2003 → Apr 10 2003