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Titolo:
Low angle estimation: Models, methods, and bounds
Autore:
Boman, K; Stoica, P;
Indirizzi:
Uppsala Univ, Dept Syst & Control, SE-75103 Uppsala, Sweden Uppsala Univ Uppsala Sweden SE-75103 & Control, SE-75103 Uppsala, Sweden
Titolo Testata:
DIGITAL SIGNAL PROCESSING
fascicolo: 1, volume: 11, anno: 2001,
pagine: 35 - 79
SICI:
1051-2004(200101)11:1<35:LAEMMA>2.0.ZU;2-3
Fonte:
ISI
Lingua:
ENG
Soggetto:
MAXIMUM-LIKELIHOOD METHODS; OF-ARRIVAL ESTIMATION; TRACKING; SIGNALS; MUSIC;
Keywords:
array processing; maximum likelihood; angle estimation; Cramer-Rao bound; Barankin bound; multipath propagation; low-angle tracking;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Engineering, Computing & Technology
Citazioni:
20
Recensione:
Indirizzi per estratti:
Indirizzo: Boman, K Uppsala Univ, Dept Syst & Control, Box 27, SE-75103 Uppsala, Sweden Uppsala Univ Box 27 Uppsala Sweden SE-75103 5103 Uppsala, Sweden
Citazione:
K. Boman e P. Stoica, "Low angle estimation: Models, methods, and bounds", DIGIT SIG P, 11(1), 2001, pp. 35-79

Abstract

In this work we study the performance of elevation estimators and lower bounds of the estimation error variance for a low angle target in a smooth sea scenario using an antenna array. The article is structured around some key assumptions on multipath knowledge, signal parameterization and noise covariance. We prove that the Cramer-Rao bound is highly dependent on the multipath model, while it is the same for the different signal parameterizations, and that it is independent of the noise covariance. The Cramer-Rao boundis sometimes too optimistic and not achievable. The tighter Barankin boundis derived to predict the threshold behavior seen at low SNR. Simulations show that the maximum likelihood methods are statistically efficient and achieve the theoretical lower bound on error variance, in the case of high enough SNR. Finally we show that the bounds can be used to design an improvedarray structure and study the influence of multiple frequencies. (C) 2000 Academic Press.

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Documento generato il 15/07/20 alle ore 05:33:59