1989/07/01 by R. Roy, T. Kailath · 82 citations
Computer Science · Earth and Planetary Sciences · #Direction-of-Arrival Estimation Techniques #Blind Source Separation Techniques #Underwater Acoustics Research
paper · doi:10.1109/29.32276
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.>