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ESPRIT-estimation of signal parameters via rotational invariance techniques

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2 Author(s)
R. Roy ; Inf. Syst. Lab., Stanford Univ., CA, USA ; T. Kailath

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

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IEEE Transactions on Acoustics, Speech, and Signal Processing  (Volume:37 ,  Issue: 7 )