Gaussian Cramer-Rao bound for direction estimation of non-circular signals in unknown noise fields - Archive ouverte HAL
Article Dans Une Revue IEEE Transactions on Signal Processing Année : 2005

Gaussian Cramer-Rao bound for direction estimation of non-circular signals in unknown noise fields

Résumé

This paper focuses on the stochastic Cramer-Rao bound (CRB) on direction of arrival (DOA) estimation accuracy for noncircular Gaussian sources in the general case of an arbitrary unknown Gaussian noise field parameterized by a vector of unknowns. Explicit closed-form expressions of the stochastic CRB for DOA parameters alone are obtained directly from the Slepian-Bangs formula for general noncircular complex Gaussian distributions. As a special case, the CRB under the nonuniform white noise assumption is derived. Our expressions can be viewed as extensions of the well-known results by Stoica and Nehorai, Ottersten et al., Weiss and Friedlander, Pesavento and Gershman, and Gershman et al. Some properties of these CRBs are proved and finally, these bounds are numerically compared with the conventional CRBs under the circular complex Gaussian distribution for different unknown noise field models. Stoica and Nehorai, Ottersten et al, Weiss and Friedlander, Pesavento and Gershman, and Gershman et al. Some properties of these CRBs are proved and finally, these bounds are numerically compared with the conventional CRBs under the circular complex Gaussian distribution for different unknown noise field models.
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Dates et versions

hal-00446762 , version 1 (13-01-2010)
hal-00446762 , version 2 (30-05-2016)

Identifiants

Citer

Habti Abeida, Jean-Pierre Delmas. Gaussian Cramer-Rao bound for direction estimation of non-circular signals in unknown noise fields. IEEE Transactions on Signal Processing, 2005, 53 (12), pp.4610-4618. ⟨10.1109/TSP.2005.859226⟩. ⟨hal-00446762v2⟩
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