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A Review on ESPRIT-Estimation of Signal Parameters via Rotational Invariance Techniques

Author(s): Karan Sharma,Sandeep Santosh

Journal: International Journal of Engineering Research
ISSN 2319-6890

Volume: 2;
Issue: 3;
Start page: 245;
Date: 2013;
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Keywords: DOA | FSPRIT | MEM | MLM

High-resolution signal parameter estimation is a problem of significance in many signal processing applications. Such applications include directionof-arrival (DOA) estimation, system identification, and time series analysis. A novel approach to the genera! Problem of signal parameter estimation is described. Although discussed in the context of direction-of-arrival estimation, FSPRIT 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 rotational invariancestructure. The technique, when applicable, manifests significant performance and computational advantages over previous algorithms such as MEM, Capon's MLM, and Ml SIC
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