Wideband source localization using sparse learning via iterative minimization
2013 (English)In: Signal Processing, ISSN 0165-1684, E-ISSN 1872-7557, Vol. 93, no 12 SI, 3504-3514 p.Article in journal (Refereed) Published
In this paper, two extensions of the Sparse Learning via Iterative Minimization (SLIM) algorithm are presented for wideband source localization using a sensor array. The proposed methods exploit the joint sparse structure across all frequency bins, and estimate the spatial pseudo-spectra at various frequency bins jointly and iteratively. Via several numerical examples, we show that the proposed methods can provide high-resolution angle estimates and excellent sourcelocalization performance, and are able to resolve the left-right ambiguity problem, when used together with the vector sensor array technology.
Place, publisher, year, edition, pages
2013. Vol. 93, no 12 SI, 3504-3514 p.
Research subject Signal Processing
IdentifiersURN: urn:nbn:se:uu:diva-205724DOI: 10.1016/j.sigpro.2013.04.005ISI: 000324354900024OAI: oai:DiVA.org:uu-205724DiVA: diva2:642563