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ESPRIT-estimation of signal parameters via rotational invariance techniques

R. RoyInformation Systems Laboratory, University of Stanford, Stanford, CA, USAT. KailathInformation Systems Laboratory, University of Stanford, Stanford, CA, USA

1989en

ABI

Annotatsiya

An approach to the general problem of signal parameter estimation is described. The algorithm differs from its predecessor in that a total least-squares rather than a standard least-squares criterion is used. 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. 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 MEM, Capon's MLM, and MUSIC.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>

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Identifikatorlar

DOI: 10.1109/29.32276

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