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Application of MUSIC to Arrays with Multiple Invariances
Department of Electrical and Computer Engineering, Brigham Young University, Provo, UT 84602 USA.
Department of Systems and Control, Uppsala University, Uppsala, Sweden.
KTH, Superseded Departments, Signals, Sensors and Systems.ORCID iD: 0000-0002-6855-5868
2000 (English)In: Proceedings IEEE International Conference on Acoustics, Speech, and Signal Processing, IEEE , 2000, 3057-3060 p.Conference paper (Refereed)
Abstract [en]

This paper describes generalizations of the MUSIC and root-MUSIC algorithms for direction of arrival (DOA) estimation to arrays composed of multiple translated subarrays. The advantage of these new approaches is that the DOAs can be estimated using either a one-dimensional search or by rooting a polynomial, as opposed to a multidimensional search as required by the multiple invariance (MI)-ESPRIT algorithm. While MI-MUSIC and root-MI-MUSIC are not statistically efficient like MI-ESPRIT, they do perform better than a single invariance implementation of ESPRIT, and are thus better suited for finding the initial conditions required by the MI-ESPRIT search.

Place, publisher, year, edition, pages
IEEE , 2000. 3057-3060 p.
Keyword [en]
Application software, Control systems, Covariance matrix, Direction of arrival estimation, Multidimensional systems, Multiple signal classification, Polynomials, Sensor arrays, Sensor phenomena and characterization, Sensor systems
National Category
Signal Processing
URN: urn:nbn:se:kth:diva-82689DOI: 10.1109/ICASSP.2000.861182OAI: diva2:498512
ICASSP Istanbul, Turkey, June 2000
NR 20140805Available from: 2012-02-12 Created: 2012-02-12 Last updated: 2012-02-12Bibliographically approved

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