Robust adaptive beamforming based on response vector optimization

@article{Xu2014RobustAB,
  title={Robust adaptive beamforming based on response vector optimization},
  author={Jingwei Xu and Guisheng Liao and Shengqi Zhu},
  journal={2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
  year={2014},
  pages={6043-6046}
}
In this paper, a robust beamforming method is proposed. This method can be viewed as a LCMV beamformer with its response vector further optimized. To generate a better response vector, it is first established as a non-convex quadratically constrained quadratic programming problem, and then is transformed into a semidefinite programming problem which can be efficiently and exactly solved via semidefinite relaxation. This method outperforms the traditional LCMV beamformer with lower sidelobe and… CONTINUE READING

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