OATAO - Open Archive Toulouse Archive Ouverte Open Access Week

Matched direction detectors and estimators for array processing with subspace steering vector uncertainties

Besson, Olivier and Scharf, Louis and Vincent, François Matched direction detectors and estimators for array processing with subspace steering vector uncertainties. (2005) IEEE Transactions on Signal Processing, vol. 5 (n° 12). pp. 4453-4463. ISSN 1053-587X

[img]
Preview
(Document in English)

PDF (publisher's version) - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
482kB

Official URL: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1542473

Abstract

In this paper, we consider the problem of estimating and detecting a signal whose associated spatial signature is known to lie in a given linear subspace but whose coordinates in this subspace are otherwise unknown, in the presence of subspace interference and broad-band noise. This situation arises when, on one hand, there exist uncertainties about the steering vector but, on the other hand, some knowledge about the steering vector errors is available. First, we derive the maximum-likelihood estimator (MLE) for the problem and compute the corresponding Cramer-Rao bound. Next, the maximum-likelihood estimates are used to derive a generalized likelihood ratio test (GLRT). The GLRT is compared and contrasted with the standard matched subspace detectors. The performances of the estimators and detectors are illustrated by means of numerical simulations.

Item Type:Article
Audience (journal):International peer-reviewed journal
Uncontrolled Keywords:
Institution:Other partners > Colorado State University - CSU (USA)
Université de Toulouse > Institut Supérieur de l'Aéronautique et de l'Espace - ISAE
Laboratory name:
Statistics:download
Deposited By: Olivier Besson
Deposited On:13 Mar 2008 08:52

Repository Staff Only: item control page