Traditional adaptive beamforming methods undergo serious performance degradation in the presence of mismatches between the assumed array response and the true array response. In this paper, we propose an algorithm which belongs to the class of diagonal loading approach, but the diagonal loading factor is computed fully automatically from the array observation vectors without the need of specifying any user parameters. Moreover, in order to decrease the computational cost, we adopt the gradient descent method to update weight vector. Some simulation results are presented to compare the performance of the proposed algorithm with sample matrix inversion (SMI) algorithm and loaded SMI (LSMI) algorithm. © 2012 Springer-Verlag GmbH.
CITATION STYLE
Wang, F., Wang, J., & Song, X. (2012). An improved diagonal loading algorithm. In Advances in Intelligent and Soft Computing (Vol. 149 AISC, pp. 45–52). https://doi.org/10.1007/978-3-642-28658-2_7
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