Performance Degradation of DOA Estimators Due to Unknown Noise Fields
Date of Original Version
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
IEEE Transactions on Signal Processing
Li, Fu, and Richard J. Vaccaro. "Performance Degradation of DOA Estimators Due to Unknown Noise Fields." IEEE Transactions on Signal Processing 40, 3 (1992): 686-690. doi:10.1109/78.120813.