DocumentCode
2507658
Title
Angular resolution limit for vector-sensor arrays: Detection and information theory approaches
Author
Vu, Dinh Thang ; El korso, Mohammed Nabil ; Boyer, Rémy ; Renaux, Alexandre ; Marcos, Sylvie
Author_Institution
Lab. des Signaux et Syst. (L2S), Univ. Paris-Sud XI (UPS), Gif-sur-Yvette, France
fYear
2011
fDate
28-30 June 2011
Firstpage
9
Lastpage
12
Abstract
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.
Keywords
array signal processing; direction-of-arrival estimation; entropy; probability; signal detection; signal resolution; statistical testing; Stein lemma; angular resolution limit; closed-form expression; closely spaced polarized sources; direction-of-arrival estimation; information theory approach; polarization state vector; probability of false alarm; quadratic function; relative entropy; statistical binary test; vector-sensor arrays; Entropy; Information theory; Sensor arrays; Signal resolution; Signal to noise ratio; Angular resolution limit; detection theory; distance measure; information theory; polarized source localization;
fLanguage
English
Publisher
ieee
Conference_Titel
Statistical Signal Processing Workshop (SSP), 2011 IEEE
Conference_Location
Nice
ISSN
pending
Print_ISBN
978-1-4577-0569-4
Type
conf
DOI
10.1109/SSP.2011.5967838
Filename
5967838
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