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An Improved TOA Model based on Error Correction and Self-Genetic Algorithm

Volume 14, Number 10, October 2018, pp. 2374-2383
DOI: 10.23940/ijpe.18.10.p13.23742383

Xuyang Wang, Yaxi Wang, Zhongkai Dang, Hongmei Pei, and Long Zhang

Computer and Communication College, Lanzhou University of Technology, Lanzhou, 730050, China

(Submitted on July 5, 2018; Revised on August 10, 2018; Accepted on September 16, 2018)


In this paper, we propose an improved TOA model in the indoor three-dimensional positioning of wireless communication base station. By adding an error correction function to the existing TOA location model, the search domain of solutions is narrowed down. In addition, we design an adaptive genetic algorithm to solve the objective function. The simulation results further demonstrate that the proposed algorithm can not only improve the positioning accuracy compared with the existing DTOA, but also has the characteristics of fast convergence speed and strong robustness. The average localization error of the model is only 1.4041m.


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