A Subspace Algorithm for WideBand Source Localization Without NarrowBand Filtering

• Published in: IEEE transactions on signal processing Vol. 59; no. 7; pp. 3470 - 3475
• Main Author: Mahata, K
• Format: Journal Article
• Language: English
• Published: New York, NY IEEE 01-07-2011; Institute of Electrical and Electronics Engineers; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Applied sciences; Approximation methods; Arrays; Detection, estimation, filtering, equalization, prediction; Direction of arrival estimation; DOA estimation; Exact sciences and technology; Filtering; Filtration; Information, signal and communications theory; Localization; Narrowband; Position (location); Signal and communications theory; Signal processing algorithms; Signal to noise ratio; Signal, noise; source localization; Spline; splines; Telecommunications and information theory; Wideband; Windows (intervals); Near field; Parameter estimation; Direction-of-arrival estimation; Filtering; Signal estimation; Subspace method; Far field; splines; Algorithm; Narrow band; Spline; DOA estimation; Wide band; wideband; Source localization; Narrow band signal; Signal processing; Filter bank; Target detection
• ISSN: 1053-587X; 1941-0476
• DOI: 10.1109/TSP.2011.2135856

The popular algorithms for wideband source localization pass the data through a bank of narrowband filters, and use the narrowband signal model for subsequent processing of the filter-bank output. This requires a large time window over which the data must be collected. We propose a new low-rank signal model, which does not rely on the narrowband signal model. In this way we can avoid narrowband filtering. The model is applicable to arbitrary array geometries, and is useful in both far-field and near-field problems. A subspace algorithm for source localization using the new model is proposed, which requires significantly smaller time window to yield reliable results.