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Improved sequential music
1995 (English)In: IEEE Transactions on Aerospace and Electronic Systems, ISSN 0018-9251, E-ISSN 1557-9603, Vol. 31, no 4, 1230-1239 p.Article in journal (Refereed) Published
Abstract [en]

MUSIC (multiple signal classification) is one of the most frequently considered methods for source location using sensor arrays. Among the location methods based on one-dimensional search, MUSIC has excellent performance. in fact, no other one-dimensional method that may outperform MUSIC (in large samples) was known to exist Our goal here is to introduce such a method, called improved sequential MUSIC (IES-MUSIC), which is shown to be strictly more accurate than MUSIC (in large samples). First, a class of sequential MUSIC estimates is introduced, which depend on a scalar-valued user parameter. MUSIC is shown to be a special case of estimate in that class, corresponding to a value of uro for the user parameter. Next, the optimal user parameter value, which minimizes the asymptotic variance of the estimation errors, is derived IES-MUSIC is the method based on that optimal choice of the user parameter. Simulation results which Lend support to the theoretical findings are included.

Place, publisher, year, edition, pages
1995. Vol. 31, no 4, 1230-1239 p.
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-43876DOI: 10.1109/7.464347ISI: A1995RX71100002OAI: oai:DiVA.org:kth-43876DiVA: diva2:448860
Note
QC 20111111Available from: 2011-10-18 Created: 2011-10-18 Last updated: 2017-12-08Bibliographically approved

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Händel, Peter

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