POWER LINE MULTIPATH TRANSMISSION MODEL PARAMETERS BASED ON HYBRID PARTICLE SWARM OPTIMIZATION ALGORITHM

被引：0

作者：

Zhang Xuhui ^{[1
]}

Peng Zhixuan ^{[1
]}

Mao Suying ^{[1
]}

Wang Wenping ^{[1
]}

机构：

[1] Sichuan Normal Univ, Higher Educ Key Lab Measuring & Control Technol &, Harbin Univ Sci & Technol, Harbin, Peoples R China

来源：

2014 FOURTH INTERNATIONAL CONFERENCE ON INSTRUMENTATION AND MEASUREMENT, COMPUTER, COMMUNICATION AND CONTROL (IMCCC) | 2014年

关键词：

Power line multipath model; Particle swarm optimization(PSO); Artificial fish swarm algorithm (AFSA); Parameter identification;

D O I：

10.1109/IMCCC.2014.56

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

On the basis of the existing power lin-e multipath transmission model, as the 0.5 similar to 20MHz actual low carrier communication channel voltage measurement data for the sample, this article makes the use of the fish hybrid particle swarm algorithm to finish multi-parameter identification. It introduces the location, speed and fitness of the PSO into the AFSA, meanwhile dynamically changes the visual and step of the AFSA, which simplifies parameter determination and improves optimization accuracy. Test and simulation results show that using this hybrid algorithm identifies the power line channel model, which can overcome the dispersion of model parameters, improve the fitting accuracy and shorten the identification time.

引用

页码：235 / 239

页数：5

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