Angular Resolution Limit for Vector-Sensor Arrays: Detection and Information Theory Approaches

Dinh Thang Vu (1) , Mohammed Nabil El Korso (1) , Remy Boyer (1) , Alexandre Renaux (1) , Sylvie Marcos (1)

1 L2S - Laboratoire des signaux et systèmes

The Angular Resolution Limit (ARL) on resolving two closely spaced polarized sources using vector-sensor arrays is considered in this paper. The proposed method is based on the information theory. In particular, the Stein's lemma provides, asymptotically, a link between the probability of false alarm and the relative entropy between two hypothesis of a given statistical binary test. We show that the relative entropy can be approximated by a quadratic function in the ARL. This property allows us to derive and analyze a closed-form expression of the ARL. To illustrate the interest of our approach the ARL, in the sense of the detection theory, is also derived. Finally, we show that the ARL is only sensitive to the norm of the polarization state vector and not to the particular values of the polarization parameters.

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

Dinh Thang Vu, Mohammed Nabil El Korso, Remy Boyer, Alexandre Renaux, Sylvie Marcos. Angular Resolution Limit for Vector-Sensor Arrays: Detection and Information Theory Approaches. IEEE International Workshop on Statistical Signal Processing - invited article, 2011, Nice, France. pp.9-12. ⟨hal-00577272⟩