High-speed parallel particle filter for PCMA signal blind separation
- Authors: Feng H.1, Gao Y.1
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Affiliations:
- Sichuan University
- Issue: Vol 59, No 10 (2016)
- Pages: 455-462
- Section: Article
- URL: https://journals.rcsi.science/0735-2727/article/view/176952
- DOI: https://doi.org/10.3103/S0735272716100058
- ID: 176952
Cite item
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.
About the authors
Hao Feng
Sichuan University
Author for correspondence.
Email: fh42272512@gmail.com
China, Chengdu
Yong Gao
Sichuan University
Email: fh42272512@gmail.com
China, Chengdu