An Improved Algorithm of VIRE Based on BP Neural Network

Authors

Hongshan Kong, Information Engineering University, Zhengzhou 450001, China;
Bin Yu, Information Engineering University, Zhengzhou 450001, China;

Abstract

Abstract: Aimed at the problem that the proper threshold affects the accuracy of positioning in VIRE algorithm, a RFID positioning method combining BP neural networks with VIRE algorithm is presented and is named BP-VIRE. BP-VIRE utilizes the same reader’s configuration and deployment as that of VIRE, and regards referenced tag RSSI and coordinate values as training samples, and constructs the positioning model based on neural networks with the help of BP algorithm which uses the method of error back propagation. According to the simulation results, compared with VIRE, BP-VIRE performance is better in the capability of positioning, esp. in the aspects of average deviation, maximum deviation, and boundary area deviation, so the improved method is more suitable for indoor positioning application in comparison with VIRE.

Recommended Citation

Kong, Hongshan and Yu, Bin (2019) "An Improved Algorithm of VIRE Based on BP Neural Network," Journal of System Simulation: Vol. 30: Iss. 9, Article 46.
DOI: 10.16182/j.issn1004731x.joss.201809046
Available at: https://dc-china-simulation.researchcommons.org/journal/vol30/iss9/46

First Page

3586

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.201809046

Last Page

3595

CLC

TP391.9

Recommended Citation

Kong Hongshan, Yu Bin. An Improved Algorithm of VIRE Based on BP Neural Network[J]. Journal of System Simulation, 2018, 30(9): 3586-3595.

DOI

10.16182/j.issn1004731x.joss.201809046