A Novel Positioning Algorithm Based on Self-adaptive Algorithm of RBF Network
Jin Ren*, Jingxing Chen, Liang Feng
School of Electronic and Information Engineering, North China University of Technology, Beijing, 100144, China
Abstract
Much attention has been paid to Taylor series expansion (TSE) method these years, which has been extensively used for solving nonlinear equations for its good robustness and accuracy of positioning. A Taylor-series expansion location algorithm based on the RBF neural network (RBF-TSE) is proposed before to the performance of TSE highly depends on the initial estimation. In order to have more accurate and lower cost,a new Taylor-series expansion location algorithm based on Self-adaptive RBF neural network (SA-RBF-TSE) is proposed to estimate the initial value. The proposed algorithm is analysed and simulated with several other algorithms in this paper.
Keywords: Angle-of-arrival (AOA), Assisted GPS (A-GPS), Position location, Self-adaptive RBF, Taylor series expansion, Time-difference-of-arrival (TDOA), Time-of-arrival(TOA).
Article Information
Article History:
Received Date: 19/02/2016
Revision Received Date: 14/07/2016
Acceptance Date: 22/07/2016
Electronic publication date: 21/11/2016
Collection year: 2016
© Ren et al.; Licensee Bentham Open
open-access license: This is an open access article licensed under the terms of the Creative Commons Attribution-Non-Commercial 4.0 International Public License (CC BY-NC 4.0) (
https://creativecommons.org/licenses/by-nc/4.0/legalcode), which permits unrestricted, non-commercial use, distribution and reproduction in any medium, provided the work is properly cited.
* Address correspondence to this author at the School of Electronic and Information Engineering, North China University of Technology, No.5 Jinyuanzhuang Road, Beijing, P.R. China; Tel: 86 +13522323925; Fax: 86 +010-88803130; E-mail: rj@ncut.edu.cn
Open Peer Review Details |
Manuscript submitted on 19-02-2016 |
Original Manuscript |
A Novel Positioning Algorithm Based on Self-adaptive Algorithm of RBF Network |