Journal of Hebei University(Natural Science Edition) ›› 2023, Vol. 43 ›› Issue (2): 207-215.DOI: 10.3969/j.issn.1000-1565.2023.02.013

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Improved TDOA 3d positioning algorithm based on adaptive Levy flight

WEI Zihui, LI Xiaoyang, WANG Le, CAI Daxin, YE Xingyue, DING Zhenjun   

  1. School of Quality and Technical Supervision, Hebei University, Baoding 071002, China
  • Received:2022-10-11 Online:2023-03-25 Published:2023-04-06

Abstract: Aiming at the problem that existing algorithms in the time difference of arrival(TDOA)measurement scheme show unbalanced search ability, leading to low positioning accuracy and even failure in solution in the part of the three-dimensional positioning area, a new approach based on improved approach is proposed. The TDOA positioning algorithm based on pathfinder algorithm(PFA)enhances the individual's adaptability to the complex environment of the positioning area by integrating the adaptive Levy flight and the improved PFA algorithm, and solves the problems of premature algorithm and easy localization, thus improving the comprehensive performance of the algorithm. Through simulation and experiments, the results show that compared with Taylor algorithm and LM algorithm, the algorithm proposed in this paper(Levy-pathfinder algorithm, LPFA)can improve the positioning accuracy; compared with PSO algorithm and PFA algorithm, LPFA algorithm can improve the operation speed and obtain more accurate positioning results.

Key words: ultra-wide band, time difference of arrival, three dimensional positioning, improved pathfinder algorithm, adaptive Levy flight

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