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Titolo:
Array self-calibration with large sensor position errors
Autore:
Flanagan, BP; Bell, KL;
Indirizzi:
MITRE Corp, Reston, VA 20190 USA MITRE Corp Reston VA USA 20190MITRE Corp, Reston, VA 20190 USA
Titolo Testata:
SIGNAL PROCESSING
fascicolo: 10, volume: 81, anno: 2001,
pagine: 2201 - 2214
SICI:
0165-1684(200110)81:10<2201:ASWLSP>2.0.ZU;2-2
Fonte:
ISI
Lingua:
ENG
Soggetto:
DIRECTION-OF-ARRIVAL; MAXIMUM-LIKELIHOOD METHODS; SUBSPACE-BASED METHODS; MODEL ERRORS; PERFORMANCE ANALYSIS; PHASE CALIBRATION; UNKNOWN LOCATIONS; FIELD SOURCES; GAIN; LOCALIZATION;
Keywords:
direction finding; calibration; array processing;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Engineering, Computing & Technology
Citazioni:
48
Recensione:
Indirizzi per estratti:
Indirizzo: Flanagan, BP MITRE Corp, 11493 Sunset Hills Rd, Reston, VA 20190 USA MITRECorp 11493 Sunset Hills Rd Reston VA USA 20190 0190 USA
Citazione:
B.P. Flanagan e K.L. Bell, "Array self-calibration with large sensor position errors", SIGNAL PROC, 81(10), 2001, pp. 2201-2214

Abstract

Self-calibration algorithms estimate both source directions of arrival (DOAs) and perturbed array response vector parameters, such as sensor locations. Calibration errors are usually assumed to be small and a first order approximation to the perturbed array response vector is often used to simplifythe estimation procedure. In this paper, we develop a more robust procedure that does not rely on the small error assumption. It has better performance for large estimation errors, and when used to initialize the Weiss and Friedlander MUSIC-based iterative technique, we see significant improvement over existing techniques for both small and large errors. (C) 2001 ElsevierScience B.V. All rights reserved.

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Documento generato il 26/05/20 alle ore 04:41:10