Subspace superdirective beamformers based on joint diagonalization
- Resource Type
- Conference
- Authors
- Li, Changlei; Benesty, Jacob; Huang, Gongping; Chen, Jingdong
- Source
- 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) Acoustics, Speech and Signal Processing (ICASSP), 2016 IEEE International Conference on. :400-404 Mar, 2016
- Subject
- Signal Processing and Analysis
White noise
Signal to noise ratio
Array signal processing
Microphone arrays
Robustness
Sensor arrays
superdirective beamforming
robust beamforming
supergain
white noise gain
directivity factor
joint diagonalization
subspace
- Language
- ISSN
- 2379-190X
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.