Author/Authors :
CHERRAK, Omar Sidi Mohamed Ben Abdellah University - Faculty of Sciences and Technologies of Fez - Laboratory of Signals, Systems and Components (LSSC)/ Laboratory of Information Sciences and Systems (LISS), Morocco , CHERRAK, Omar Sud-Toulon-Var University, France , THIRION-MOREAU, Nadège Sud-Toulon-Var University - Laboratory of Information Sciences and Systems (LISS), France , GHENNIOUI, Hicham Sidi Mohamed Ben Abdellah University - Faculty of Sciences and Technologies of Fez - Laboratory of Signals, Systems and Components (LSSC), Morocco , ABARKAN, El Hossain Sidi Mohamed Ben Abdellah University - Faculty of Sciences and Technologies of Fez - Laboratory of Signals, Systems and Components (LSSC), Morocco
Abstract :
This paper addresses the Joint Maximum-Likelihood Sequence Estimation (JMLSE) algorithm of AIS (Automatic Identification System) signals decollision in maritime surveillance context. The AIS is a Self-Organized Time Division Multiple Access (SO-TDMA) system, in which vessels periodically transmit information. The main idea of this paper is the decollision of signals received by a Low Earth Orbit (LEO) satellite lead to a global surveillance of maritime traffic using JMLSE algorithm. Simulations are provided in order to evaluate the behavior of the JMLSE algorithm for separation and estimation of sources.
NaturalLanguageKeyword :
AIS signal , Maritime surveillance , GMSK modulation , Joint Maximum Likelihood Sequence Estimation , (De)Collision , Blind Source Separation
