An Effective Method of Collided Signals Separation for Satellite-based Automatic Identification System
Dan Zhao, Min De Huang, Peng Li, Luan Wang, Renhong Xie, Yibin Rui · 2020
In this paper, an effective method which is developed specially for separating the collided wireless RF signals of satellite-based Automatic Identification System (AIS) is presented. The proposed approach adopts an optimization algorithm, which improves the artificial bee colony (ABC) algorithm by combining the advantages of limited-memory Broyden-Fletcher-Goldfarb-Shanno (L-BFGS). The separation mathematical model of the collided signals is addressed and the steps of algorithm are given. Simulation results show that the proposed method yields superior performance in terms of convergence speed and solution accuracy.