An AIS Signal Extraction Algorithm Based on Autocorrelation*

Abstract

A novel blind source extraction algorithm based on cumulative autocorrelation is proposed to solve the problem of satellite-based automatic identification system signal separation. The cumulative autocorrelation of any mixed real signal is proved to be between the minimal and maximal values of the cumulative autocorrelation of its component source signals. In the proposed algorithm, the cumulative autocorrelation of the signal is used as the objective function and an artificial bee colony algorithm is used for optimization. A separated signal component is removed using the deflation method, and the entire source signal can be successfully removed by repeating the separation process. Simulation results show that the algorithm can effectively realize the blind separation of mixed satellite-based AIS signals