ISBN: 978-981-11-0008-6 DOI: 10.18178/wcse.2016.06.026
A Steady FastICA Algorithm Based on Modified-M Estimate Function
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
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.