Unified performance analysis of subspace-based estimation algorithms

Authors

Fu Li, University of Rhode Island
Richard J. Vaccaro, University of Rhode Island
Donald W. Tufts, University of Rhode Island

Document Type

Conference Proceeding

Date of Original Version

12-1-1990

Abstract

A unified performance analysis of subspace-based algorithms for direction-of-arrival (DOA) estimation involving multiple signal arrivals in array signal processing is presented. Following previous analyses of MUSIC and Min-Norm, an analytical expression of the variance of the DOA estimation-error is developed for state-space realization (TAM) and ESPRIT in a greatly simplified fashion. The tractable formulas provide insight for design. Simulation results verify the analysis.

Publication Title, e.g., Journal

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volume

5

Citation/Publisher Attribution

Li, Fu, Richard J. Vaccaro, and Donald W. Tufts. "Unified performance analysis of subspace-based estimation algorithms." ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings 5, (1990): 2575-2578. https://digitalcommons.uri.edu/ele_facpubs/1185