Multiple invariance ESPRIT

1992/04/01 by A. Lee Swindlehurst, A.L. Swindlehurst, Björn Ottersten +3
Computer Science · Engineering · #Antenna Design and Optimization #Direction-of-Arrival Estimation Techniques #Speech and Audio Processing

paper · doi:10.1109/78.127959

openalex publication_date 1992/04/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/29

Abstract

A subspace-fitting formulation of the ESPRIT problem is presented that provides a framework for extending the algorithm to exploit arrays with multiple invariances. In particular, a multiple invariance (MI) ESPRIT algorithm is developed and the asymptotic distribution of the estimates is obtained. Simulations are conducted to verify the analysis and to compare the performance of MI ESPRIT with that of several other approaches. The excellent quality of the MI ESPRIT estimates is explained by recent results which state that, under certain conditions, subspace-fitting methods of this type are asymptotically efficient.>

Citations

• The Differentiation of Pseudo-Inverses and Nonlinear Least Squares Problems Whose Variables Separate
• ESPRIT-estimation of signal parameters via rotational invariance techniques
• On spatial smoothing for direction-of-arrival estimation of coherent signals
• The statistical performance of the MUSIC and the minimum-norm algorithms in resolving plane waves in noise

Related

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• A Large-dimensional Analysis of ESPRIT DoA Estimation: Inconsistency and a Correction via RMT
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• Report on Two-Step Knowledge-Aided Iterative ESPRIT Algorithm
• A Subspace Method for Array Covariance Matrix Estimation