Robust Multi-Source Localization over Planar Arrays using MUSIC-Group Delay Spectrum
Abstract
Subspace-based source localization methods utilize the spectral magnitude of the MUltiple SIgnal Classification (MUSIC) method. However, in all these methods, a large number of sensors are required to resolve closely spaced sources. A novel method for high resolution source localization based on the group delay ofMUSIC is described in this work. The method can resolve both the azimuth and elevation angles of closely spaced sources using a minimal number of sensors over a planar array. At the direction of arrival (DOA) of the desired source, a transition is observed in the phase spectrum of MUSIC. The negative differential of the phase spectrum also called group delay, results in a peak at the DOA. The proposed MUSIC-Group delay spectrum defined as product of MUSIC-Magnitude (MM) and group delay spectra, resolves spatially close sources even under reverberation owing to its spatial additive property. This is illustrated by performing spectral analysis of the MUSIC-Group delay function under reverberant environments. A mathematical proof for the spatial additive property of group delay spectrum is also provided.Source localization error analysis, sensor perturbation analysis,and Cramér-Rao bound (CRB) analysis are then performed to verify the robustness of the MUSIC-Group delay method. Experiments on speech enhancement and distant speech recognition are also conducted on spatialized TIMIT and MONC databases.Experimental results obtained using objective performance measures and word error rates (WER) indicate reasonable robustness when compared to conventional source localization methods in literature.
Recommended Citation
L. Kumar et al., "Robust Multi-Source Localization over Planar Arrays using MUSIC-Group Delay Spectrum," IEEE Transactions on Signal Processing, vol. 62, no. 17, pp. 4627 - 4636, Institute of Electrical and Electronics Engineers (IEEE), Sep 2014.
The definitive version is available at https://doi.org/10.1109/TSP.2014.2337271
Department(s)
Computer Science
Keywords and Phrases
Azimuth; DOA; Elevation; Group Delay; MUSIC; Phase; Source Localization; UCA
International Standard Serial Number (ISSN)
1053-587X; 1941-0476
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2014 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.
Publication Date
01 Sep 2014
