A Robust Adaptive Beamforming Algorithm Based on SVD
To solve the deviation problem of mainlobe and high sidelobe in the adaptive beamformer with finite snapshots, a robust adaptive beamforming algorithm based on SVD (SVD-RAB) is proposed in this paper. The interference subspace and its orthogonal subspace are acquired by performing SVD on the receiving data matrix. The interference is suppressed utilizing the orthogonality of the subspace. The beam is formed using the transformation matrix according to the maximum signal to noise ratio (SNR) criterion. The presented algorithm can diminish the deviation of mainlobe and restrain the high sidelobe with finite snapshots. Through the analysis of the ability to suppress interference with finite snapshots, the exact number of snapshots for interference suppression is obtained. Intensive evaluation and direct comparisons with existing beamformers are conducted, showing the validity and superiority of the proposed algorithm.
KeywordsAdaptive Beamforming Finite Snapshots SVD Robustness
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