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A Robust Adaptive Beamforming Algorithm Based on SVD

  • Hongtao Li
  • Yapeng He
  • Xiaohua Zhu
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 134)

Abstract

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.

Keywords

Adaptive Beamforming Finite Snapshots SVD Robustness 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  1. 1.School of Electronic Engineering and Optoelectronic TechnologyNanjing University of Science & TechnologyNanjingChina

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