Sound capture from spatial volumes: matched-filter processing of microphone arrays having randomly-distributed sensors

This report describes microphone arrays and parallel signal processing for high-quality sound capture in noisy, reverberant enclosures. The technique incorporates matched-filtering of individual sensors and parallel processing to provide spatial volume selectivity that mitigates effects of noise interference and multipath distortion. Truncated causal approximations to ideal matched-filters and arrays composed of randomly distributed transducers reduce complexity and improve the quality of sound capture. The method outperforms traditional delay-and-sum beamformers which provide only directional selectivity.