Blind separation of complex-valued satellite-AIS data for marine surveillance: a spatial quadratic time-frequency domain approach

Omar Cherrak; Hicham Ghennioui; Nadège Thirion-Moreau; El Hossein Abarkan

Blind separation of complex-valued satellite-AIS data for marine surveillance: a spatial quadratic time-frequency domain approach

Séparation aveugle de données à valeurs complexes de type SIA satellitaire pour la surveillance maritime : une approche fondée sur les méthodes temps-fréquence spatiales quadratiques

Omar Cherrak ¹ Hicham Ghennioui ² Nadège Thirion-Moreau ^{3, 4} El Hossein Abarkan ²

1 IGA - Institut supérieur du Génie Appliqué

2 USMBA - Université Sidi Mohamed Ben Abdellah

3 LIS - Laboratoire d'Informatique et Systèmes

4 SIIM - Signal et Image

LIS - Laboratoire d'Informatique et Systèmes

Abstract : In this paper, the problem of the blind separation of complex-valued Satellite-AIS data for marine surveillance is addressed. Due to the specific properties of the sources under consideration: they are cyclo-stationary signals with two close cyclicfrequencies, we opt for spatial quadratic time-frequency domain methods. The use of an additional diversity, the time delay, is aimed at making it possible to undo the mixing of signals at the multi-sensor receiver. The suggested method involves three main stages. First, the spatial generalized mean Ambiguity function of the observations across the array is constructed. Second, in the Ambiguity plane, Delay-Doppler regions of high magnitude are determined and Delay-Doppler points of peaky values are selected. Third, the mixing matrix is estimated from these Delay-Doppler regions using our proposed non-unitary joint zero-(block) diagonalization algorithms as to perform separation.

Keywords : Marine surveillance Satelitte automatic identification system Matrix decompositions Joint (zero) block diagonalization Blind source separation

Document type :

Journal articles

Domain :

Computer Science [cs] / Networking and Internet Architecture [cs.NI]

Computer Science [cs] / Signal and Image Processing

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https://hal-amu.archives-ouvertes.fr/hal-02057520
Contributor : Nadège Thirion-Moreau <>
Submitted on : Tuesday, March 5, 2019 - 1:38:57 PM
Last modification on : Monday, August 19, 2019 - 4:14:04 PM
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