Subspace superdirective beamformers based on joint diagonalization

Changlei Li; Jacob Benesty; Gongping Huang; Jingdong Chen

ICASSP 2016accepted0 citations

Subspace superdirective beamformers based on joint diagonalization

Changlei Li, Jacob Benesty, Gongping Huang, Jingdong Chen

Abstract

Although they have been intensively studied and used in many applications due to their high directivity factor (DF), superdirective beamformers are sensitive to sensor noise and mismatch between sensors. This paper studies the problem of superdirective beamforming combined with the joint diagonalization method. We develop a subspace superdirective beamforming approach, which can achieve a good compromise between a high DF and white noise amplification. Simulations are performed to justify our theoretical analysis and demonstrate the good properties of this subspace superdirective beamforming approach.

BibTeX

@inproceedings{icassp2016_subspacesuperdir,
  title = {Subspace superdirective beamformers based on joint diagonalization},
  author = {Changlei Li and Jacob Benesty and Gongping Huang and Jingdong Chen},
  booktitle = {ICASSP 2016},
  year = {2016}
}