Direct derivation of the stochastic CRB of DOA estimation for rectilinear sources

Habti Abeida (1) , Jean-Pierre Delmas (2, 3, 4)

1 TU - Taif University
2 TIPIC-SAMOVAR - Traitement de l'Information Pour Images et Communications
3 TSP - CITI - Communications, Images et Traitement de l'Information
4 CNRS - Centre National de la Recherche Scientifique

Several direction of arrival (DOA) estimation algorithms have been proposed to exploit the structure of rectilinear or strictly second-order noncircular signals. But until now, only the compact closed-form expressions of the corresponding deterministic Cram´er Rao bound (DCRB) have been derived because it is much easier to derive than the stochastic CRB (SCRB). As this latter bound is asymptotically achievable by the maximum likelihood (ML) estimator, while the DCRB is unattainable, it is important to have a compact closed-form expression for this SCRB to assess the performance of DOA estimation algorithms for rectilinear signals. The aim of this paper is to derive this expression directly from the Slepian-Bangs formula including in particular the case of prior knowledge of uncorrelated or coherent sources. Some properties of these SCRBs are proved and numerical illustrations are given

Mots clés: Direction of arrival (DOA) estimation; Circular and noncircular signal; Strictly noncircular signal; Rectilinear signals; Slepian-Bangs formula; Deterministic and stochastic Cramer-Rao bound

Domaines: Traitement du signal et de l'image [eess.SP]

Habti Abeida, Jean-Pierre Delmas. Direct derivation of the stochastic CRB of DOA estimation for rectilinear sources. IEEE Signal Processing Letters, 2017, 24 (10), pp.1522 - 1526. ⟨10.1109/LSP.2017.2744673⟩. ⟨hal-01629444⟩