Adaptive beamforming and particle filtering
Seth Benton, Andreas Spanias, Kai Tu, Harvey Thornburg, Gang Qian, Thanassis Rikakis · International Conference on Signal Processing · 2006
This paper addresses the problem of localizing a speech source in a reverberant environment. Simulations and real-time experiments are conducted and several methods are examined including the traditional steered-response-power (SRP) and the delay-and-sum beamformer (DSB). An algorithm that uses a particle filter in conjunction with an adaptive beamformer is developed, analyzed, and tested in a reverberant environment. The use of the particle filter provided improved results, relative to traditional DSB localization methods, in offline simulations and real-time experiments.