Abstract

ESPRIT is a recently developed technique for high-resolution signal parameter estimation. For the specific problem of direction-of-arrival (DOA) estimation, a decrease in computational complexity of orders of mag nitude over other high-resolution methods is achieved by exploiting an int'driance structure designed into the sensor array. Previously, ESPRIT took advantage of only one such invariance per dimension of the parameter vector. The ubiquitous uniform linear array is an example of a sensor array possessing many such invariances, and the question of which invariance to use naturally arises. In this paper, ESPRIT is extended to address the problem of exploiting all the invariances simultaneously. The nonlinear multiple invariance ESPRIT algorithm is derived and compared via simulation to various standard ESPRIT solutions possible for arrays with multiple invariances.

Keywords

Rotational invarianceDimension (graph theory)AlgorithmDirection of arrivalNonlinear systemComputer scienceDirection findingComputational complexity theoryInvariance principleEstimation theoryMathematicsTelecommunicationsPure mathematics

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Publication Info

Year
2005
Type
article
Volume
2
Pages
583-587
Citations
27
Access
Closed

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R. Roy, Björn Ottersten, A. Lee Swindlehurst et al. (2005). Multiple Invariance ESPRIT. , 2 , 583-587. https://doi.org/10.1109/acssc.1988.754609

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DOI
10.1109/acssc.1988.754609