"Performance Degradation of DOA Estimators Due to Unknown Noise Fields" by Fu Li and Richard J. Vaccaro
 

Performance Degradation of DOA Estimators Due to Unknown Noise Fields

Document Type

Article

Date of Original Version

1-1-1992

Abstract

This correspondence presents a statistical performance analysis of subspace-based directions-of-arrival (DOA) estimation algorithms in the presence of correlated observation noise with unknown covariance. Our analysis of five different estimation algorithms is unified by a single expression for the mean-squared DOA estimation error which is derived using a subspace perturbation expansion. The analysis assumes that only a finite amount of array data is available. © 1992 IEEE

Publication Title, e.g., Journal

IEEE Transactions on Signal Processing

Volume

40

Issue

3

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