DOA Estimation for Multiple Sparse Sources with Arbitrarily Arranged Multiple Sensors |
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Authors: | Shoko Araki Hiroshi Sawada Ryo Mukai Shoji Makino |
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Affiliation: | (1) NTT Communication Science Laboratories, NTT Corporation, 2-4 Hikaridai, Seika-cho, Soraku-gun, Kyoto 619-0237, Japan;(2) University of Tsukuba, 1-1-1 Tennodai, Tsukuba Ibaraki, 305-8577, Japan |
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Abstract: | This paper proposes a method for estimating the direction of arrival (DOA) of multiple source signals for an underdetermined
situation, where the number of sources N exceeds the number of sensors M (M < N). Some DOA estimation methods have already been proposed for underdetermined cases. However, since most of them restrict
their microphone array arrangements, their DOA estimation ability is limited to a 2-dimensional plane. To deal with an underdetermined
case where sources are distributed arbitrarily, we propose a method that can employ a 2- or 3-dimensional sensor array. Our
new method employs the source sparseness assumption to handle an underdetermined case. Our formulation with the sensor coordinate
vectors allows us to employ arbitrarily arranged sensors easily. We obtained promising experimental results for 2-dimensionally
distributed sensors and sources 3×4, 3×5 (#sensors × #speech sources), and for 3-dimensional case with 4×5 in a room (reverberation
time (RT) of 120 ms). We also investigate the DOA estimation performance under several reverberant conditions. |
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