A Ranging Model Based on BP Neural Network

被引：10

作者：

Chen, Xiaohui ^{[1
]}

Zhang, Mengjiao ^{[1
]}

Ruan, Kai ^{[1
]}

Gong, Canfeng ^{[1
]}

Zhang, Yinyin ^{[1
]}

Yang, Simon X. ^{[2
]}

机构：

[1] China Three Gorges Univ, Coll Comp & Informat Technol, Yichang, Peoples R China

[2] Univ Guelph, Sch Engn, Guelph, ON, Canada

来源：

INTELLIGENT AUTOMATION AND SOFT COMPUTING | 2016年 / 22卷 / 02期

关键词：

Shadowing model; BP neural network model; WSN; Ranging error; Adaptability; SENSOR NETWORKS;

D O I：

10.1080/10798587.2015.1095484

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The traditional Shadowing model relies too much on parameters and specific environment, so its application occasions in WSN are restricted. This paper studies the wireless signal propagation model and proposes the ranging model based on BP neural network model, it has the ability of autonomous learning according to different environments, and can improve the precision of measuring distance, then enhance the adaptability to the environment. The simulation results show that the ranging model based on BP neural network model can reduce the ranging error, which has the adaptability to the environment.

引用

页码：325 / 329

页数：5

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