.:2013Ultra-wideband Positioning Memetic Solution Method Based on Differential Evolution and Taylor Series

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.:2013Ultra-wideband Positioning Memetic Solution Method Based on Differential Evolution and Taylor Series

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[1]Zhang Yong,high brilliance,Guo Yinan,et al..:2013Ultra-wideband Positioning Memetic Solution Method Based on Differential Evolution and Taylor Series[J].Journal of Zhengzhou University (Engineering Science),2020,41(01):70-74.[doi:10.13705/j.issn.1671-6833.2019.04.013]

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Journal of Zhengzhou University (Engineering Science)[ISSN 1671-6833/CN 41-1339/T] Volume: 41卷 Number of periods: 2020 01 Page number: 70-74 Column: Public date: 2020-03-10

Title:: .:2013Ultra-wideband Positioning Memetic Solution Method Based on Differential Evolution and Taylor Series

Author(s):: Zhang Yong 1; high brilliance 1; Guo Yinan 1; Gong Dunwei 1; Yang Jianjian 2; 1. School of Information and Control Engineering, China University of Mining and Technology; 2. School of Mechatronics and Information Engineering, China University of Mining and Technology (Beijing)

Keywords:: ltra-widebandindoor positioningtaylor series iterative algorithmdifferential evolution algo-rithmtunneling support mobile bracket

CLC:: -

DOI:: 10.13705/j.issn.1671-6833.2019.04.013

Abstract:: Ultra-wideband positioning has been widely used as a high-precision indoor moving object positioning tracking or navigation technology. The traditional UWB positioning model usually uses the Taylor series iterative algorithm to achieve positional solution. However, the Taylor series positioning solution has strongly dependence on the initial value. To improve the robustness and positioning accuracy of the positioning solution method, a novel ultra-wideband localization solution based on differential evolution algorithm and Taylor series iteration is proposed. Calculation method. Taking the positioning error as the optimization target, the differential evolution algorithm is used to achieve the global position of the target point. Furthermore, the optimal positioning point obtained by the differential evolution algorithm is used as the initial value, and the Taylor series iterative algorithm is used to locally optimize the positioning point to obtain more precise target positioning. Aiming at the complex indoor scene of coal mine roadway, the proposed method is used to realize the UWB positioning calculation of the excavation support mobile bracket. The experimental results show that the proposed method has higher positioning resolution accuracy than the existing positioning solution method.

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Last Update: 2020-02-22