High-speed parallel particle filter for PCMA signal blind separation

Authors

  • Hao Feng Sichuan University, Chengdu, China
  • Yong Gao Sichuan University, Chengdu, China

DOI:

https://doi.org/10.3103/S0735272716100058

Keywords:

PCMA, blind separation, parallel particle filter

Abstract

The paper proposes an improved high-speed parallel particle filter algorithm for the blind separation of PCMA-signals by utilizing particle filter’s characteristics of parallelism with the help of a cluster computer system built by using the Matlab distributed computing server and Matlab parallel computing toolbox. The simulation results show that the parallel algorithm can perform the PCMA-signal blind separation quickly and effectively. Further, it can greatly decrease the time of the separation, without reducing the performance of the algorithm, and improve the real-time application of system.

Author Biographies

Hao Feng, Sichuan University, Chengdu

Master student of Sichuan University.

The main research is mobile communication.

The first author of this article.

Yong Gao, Sichuan University, Chengdu

The professor of Sichuan University.

Mainly interested in Array signal processing、Electronic reconnaissance、Anti interference technology of communication、Signal analysis、Acoustic signal processing、Development of embedded system

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Published

2016-10-18

Issue

Section

Research Articles