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Utilization of Noise-Only Samples in Array Processing With Prior Knowledge
KTH, School of Electrical Engineering (EES), Signal Processing.
KTH, School of Electrical Engineering (EES), Signal Processing.ORCID iD: 0000-0002-6855-5868
KTH, School of Electrical Engineering (EES), Signal Processing.ORCID iD: 0000-0002-3599-5584
2013 (English)In: IEEE Signal Processing Letters, ISSN 1070-9908, E-ISSN 1558-2361, Vol. 20, no 9, 865-868 p.Article in journal (Refereed) Published
Abstract [en]

For array processing, we consider the problem of estimating signals of interest, and their directions of arrival (DOA), in unknown colored noise fields. We develop an estimator that efficiently utilizes a set of noise-only samples and, further, can incorporate prior knowledge of the DOAs with varying degrees of certainty. The estimator is compared with state of the art estimators that utilize noise-only samples, and the Cramer-Rao bound, exhibiting improved performance for smaller sample sets and in poor signal conditions.

Place, publisher, year, edition, pages
IEEE , 2013. Vol. 20, no 9, 865-868 p.
Keyword [en]
Colored noise, Cramer-Rao bound, direction of arrival estimation
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-125540DOI: 10.1109/LSP.2013.2271515ISI: 000321668200002Scopus ID: 2-s2.0-84880561241OAI: oai:DiVA.org:kth-125540DiVA: diva2:640252
Funder
Swedish Research Council, 621-2011-5847 621-2012-4134EU, European Research Council, 228044
Note

QC 20130813

Available from: 2013-08-13 Created: 2013-08-09 Last updated: 2017-12-06Bibliographically approved

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Jansson, MagnusBengtsson, Mats

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