Journal ArticleDOI
ESPRIT-estimation of signal parameters via rotational invariance techniques
R. Roy,Thomas Kailath +1 more
TLDR
A novel approach to the general problem of signal parameter estimation is described, and although discussed in the context of direction-of-arrival estimation, ESPRIT can be applied to a wide variety of problems.Abstract:
High-resolution signal parameter estimation is a problem of significance in many signal processing applications. Such applications indude direction-of-arrival estimation, system identification, and time series analysis. A novel approach to the general problem of signal parameter estimation is described. Although discussed in the context of directionof-
arrival estimation, ESPRIT can be applied to a wide variety of problems. It exploits an underlying rotational invariance among signal subspaces
induced by an array of sensors with a translational invariance structure. The technique, when applicable, manifests significant performance and computational advantages over previous algorithms such as Burg's maximum entropy method, Capon's maximum likelihood method, and Schmidt's multiple signal classification.read more
Citations
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Journal ArticleDOI
ESPRIT-estimation of signal parameters via rotational invariance techniques
R. Roy,Thomas Kailath +1 more
TL;DR: Although discussed in the context of direction-of-arrival estimation, ESPRIT can be applied to a wide variety of problems including accurate detection and estimation of sinusoids in noise.
Journal ArticleDOI
Smart antennas for wireless systems
TL;DR: Standard cellular antennas, smart antennas using fixed beams, and adaptive antennas for base stations, as well as antenna technologies for handsets are described and the potential improvement that these antennas can provide is shown.
Journal ArticleDOI
Sensor array processing based on subspace fitting
Mats Viberg,Bjorn Ottersten +1 more
TL;DR: It is shown that by introducing a specific weighting matrix, the multidimensional signal subspace method can achieve the same asymptotic properties as the ML method.
Journal ArticleDOI
Indeterminacy and identifiability of blind identification
TL;DR: In this article, a mathematical structure from which the acceptable indeterminacy is represented by an equivalence relation is formulated, and two identifiable cases are shown along with blind identification algorithms, FOBI (fourth-order blind identification), EFOBI (extended FOBI), and AMUSE algorithm.
Journal ArticleDOI
Parallel factor analysis in sensor array processing
TL;DR: This link facilitates the derivation of powerful identifiability results for MI-SAP, shows that the uniqueness of single- and multiple-invariance ESPRIT stems from uniqueness of low-rank decomposition of three-way arrays, and allows tapping on the available expertise for fitting the PARAFAC model.