WCSE 2016
ISBN: 978-981-11-0008-6 DOI: 10.18178/wcse.2016.06.026

A Steady FastICA Algorithm Based on Modified-M Estimate Function

Shexiang Ma, Ping Xie

Abstract— In order to improve the detection rate of ship information, this paper adopts fast independent component analysis (FastICA) algorithm to separate satellite-based automatic identification system (AIS) mixed signals. FastICA algorithm has the advantages of fast convergence rate and simple form. However, it is sensitive to the initialization of the separation matrix and the robust performance is poor. Aimed at the problem, this paper proposes an improved FastICA algorithm. This new algorithm is based on constant model of AIS signal and chooses Modified-M estimation function as nonlinear function so as to improve the robustness of algorithm. The improved algorithm also modifies Newton iterative algorithm. The experimental simulation results indicate that the proposed method reduces the iteration times, the accuracy has been improved.

Index Terms— satellite-based automatic identification system, fast independent component analysis, robustness, modified-M estimate function.

Shexiang Ma, Ping Xie
School of Computer and Communication Engineering, Tianjin University of Technology, CHINA


Cite: Shexiang Ma, Ping Xie, "A Steady FastICA Algorithm Based on Modified-M Estimate Function," Proceedings of 2016 6th International Workshop on Computer Science and Engineering, pp. 155-160, Tokyo, 17-19 June, 2016.