Title

Sensitivity Analysis of DOA Estimation Algorithms to Sensor Errors

Document Type

Article

Date of Original Version

1-1-1992

Abstract

A unified statistical performance analysis using subspace perturbation expansions is applied to subspace-based algorithms for direction-of-arrival (DOA) estimation in the presence of sensor errors. In particular, the multiple signal classification (MUSIC), min-norm, state-space realization (TAM and DDA) and estimation of signal parameters via rotational invariance techniques (ESPRIT) algorithms are analyzed. This analysis assumes that only a finite amount of data is available. An analytical expression for the mean-squared error of the DOA estimates is developed for theoretical comparison in a simple and self-contained fashion. The tractable formulas provide insight into the algorithms. Simulation results verify the analysis. © 1992 IEEE

Publication Title

IEEE Transactions on Aerospace and Electronic Systems

Volume

28

Issue

3

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