doi: 10.18178/ijfcc.2017.6.3.501
Parameter Estimation Algorithms for Volterra Digital Systems
Wei-Der Chang
,
Ching-Lung Chi
,
Shun-Peng Shih
,
Bo-Hong Ye
- Department of Computer and Communication, Shu-Te University, Kaohsiung, Taiwan.
Abstract
In this paper, we will propose a novel parameterestimation algorithm which is based on the modified particleswarm optimization (PSO) algorithm for the Volterra digitalsystem. In the modified PSO algorithm, another adjustingfactor is added into the velocity updating formula to enhancethe algorithm’s search capacity. On the basis of a series ofinput-output data pairs, we wish that the modified PSOapproach can successfully solve for the unknown parameters ofthe Volterra digital system. The whole design steps based on themodified PSO is presented for parameter estimations. Besides,different sets of algorithm initial conditions are examined toconfirm the feasibility and robustness. Finally, simulationresults sufficiently reveal that the proposed method cancorrectly solve for the parameters of the Volterra digitalsystem.
Keywords
- Parameter estimation
- Volterra digital system
- Particle swarm optimization (PSO)
How to Cite
Wei-Der Chang, Ching-Lung Chi, Shun-Peng Shih, and Bo-Hong Ye, "Parameter Estimation Algorithms for Volterra Digital Systems," International Journal of Future Computer and Communication, vol. 6, no. 3, pp. 115-118, 2017. https://doi.org/ 10.18178/ijfcc.2017.6.3.501
Copyright & License
Copyright © 2017 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).