Asymptotic performance analysis of DOA finding algorithms with temporally correlated narrow-band signals

Jean-Pierre Delmas (1, 2) , Yann Meurisse

1 TSP - CITI - Communications, Images et Traitement de l'Information
2 TIPIC-SAMOVAR - Traitement de l'Information Pour Images et Communications

This correspondence focuses on the asymptotic performance analysis of general direction of arrival (DOA) finding algorithms under the stochastic model assumption in which source and noise signals are possibly non-Gaussian and possibly temporally correlated. We prove, in particular, that all the covariance-based DOA estimators are sensitive to the temporal correlation of the sources when the noise is temporally correlated; otherwise, most of them are insensitive to the temporal correlation of the sources except for the Toeplitzation and the augmentation techniques.

Domaines: Statistiques [math.ST]; Théorie [stat.TH]; Traitement du signal et de l'image [eess.SP]

Jean-Pierre Delmas, Yann Meurisse. Asymptotic performance analysis of DOA finding algorithms with temporally correlated narrow-band signals. IEEE Transactions on Signal Processing, 2000. ⟨hal-03435713⟩