UWB indoor location algorithm based on improved BP neural network

Hao Zhang; Yajun Zhao; Yixiao Zhang; Jin Zuo; Min Bian; Jiao Zhao

doi:10.1117/12.2624738

13 December 2021 UWB indoor location algorithm based on improved BP neural network

Hao Zhang, Yajun Zhao, Yixiao Zhang, Jin Zuo, Min Bian, Jiao Zhao

Proceedings Volume 12087, International Conference on Electronic Information Engineering and Computer Technology (EIECT 2021); 120870W (2021) https://doi.org/10.1117/12.2624738
Event: International Conference on Electronic Information Engineering and Computer Technology (EIECT 2021), 2021, Kunming, China

Abstract

Traditional UWB indoor positioning technology uses geometric algorithm to locate tags analytically, but the complex indoor environment and ranging error may lead to no solution to the equations, so it is impossible to achieve positioning. In order to solve the above problems, a UWB indoor location algorithm based on Improved BP neural network is proposed. The difference between the label coordinates and the real coordinates of the output layer is taken as the error signal. Utilize the gradient drop means to correct the each weights of the network to reduce the error. Based of BP algorithm, the studying speed is changed adaptively through the change trend of network training error to enhance the convergence speed. Comparative experiments by a location algorithm based on the traditional location technique and BP neural network. Emulation experiment outcomes indicate the iterative times and location error of the algorithm are obviously small. And the output trajectory is basically consistent with the actual motion trajectory, which has high positioning accuracy.

Citation Download Citation

Hao Zhang, Yajun Zhao, Yixiao Zhang, Jin Zuo, Min Bian, and Jiao Zhao "UWB indoor location algorithm based on improved BP neural network", Proc. SPIE 12087, International Conference on Electronic Information Engineering and Computer Technology (EIECT 2021), 120870W (13 December 2021); https://doi.org/10.1117/12.2624738

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
5 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Neural networks

Evolutionary algorithms

Data modeling

Motion models

Error analysis

Filtering (signal processing)

Neurons

Show All Keywords

Keywords/Phrases

Search In:

Publication Years