Efficient convex optimization for real-time robust beamforming with microphone arrays

This paper presents an efficient implementation of a robust adaptive beamforming algorithm based on convex optimization for applications in the processing-constrained environment of a digital hearing aid. Several modifications of the standard interior point barrier method are introduced for use where the array data covariance matrix is changing rapidly relative to the algorithm’s convergence rate. These efficiency improvements significantly simplify the computation without affecting the algorithm’s fast convergence, and are useful for real-time adaptive beamforming regardless of the rate of array correlation change. Simulation results show that this implementation is numerically stable and succeeds where many minimum-variance distortionless response (MVDR) solutions fail.

• Type: Journal
• Year: 2011
• Where: ICASSP
• Authors: Eric A. Durant, Ivo Merks, Bill Woods, Jinjun Xiao, Tao Zhang, Zhi-Quan Luo
• Keywords: Adaptive Beamforming Algorithm, Array Correlation Change, Array Data Covariance, ICASSP 2011, Signal Processing