[1]张勇,高光辉,郭一楠,等.融合差分进化和Taylor级数的超宽带定位解算方法[J].郑州大学学报(工学版),2020,41(01):70-74.[doi:10.13705/j.issn.1671-6833.2019.04.013]
 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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融合差分进化和Taylor级数的超宽带定位解算方法()
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《郑州大学学报(工学版)》[ISSN:1671-6833/CN:41-1339/T]

卷:
41卷
期数:
2020年01期
页码:
70-74
栏目:
出版日期:
2020-03-10

文章信息/Info

Title:
.:2013Ultra-wideband Positioning Memetic Solution Method Based on Differential Evolution and Taylor Series
作者:
张勇高光辉郭一楠巩敦卫杨建建
1. 中国矿业大学信息与控制工程学院;2. 中国矿业大学(北京)机电与信息工程学院
Author(s):
Zhang Yong 1high brilliance 1Guo Yinan 1Gong Dunwei 1Yang 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)

关键词:
超宽带室内定位Taylor 级数迭代算法差分进化算法掘进支护移动支架
Keywords:
ltra-widebandindoor positioningtaylor series iterative algorithmdifferential evolution algo-rithmtunneling support mobile bracket
DOI:
10.13705/j.issn.1671-6833.2019.04.013
文献标志码:
A
摘要:
为提高定位解算方法的鲁棒性和定位精度,提出一种融合差分进化算法和 Taylor级数迭代的 新型超宽带定位解算方法。 以定位误差作为优化目标,采用差分进化算法对目标点实现全局定位,进而 以差分进化算法获得的最优定位点作为初始值,采用 Taylor级数迭代算法对定位点进行局部寻优,获得更加精准的目标定位。 针对煤矿掘进巷道这一复杂室内场景,采用所提方法实现掘进支护移动支架的 超宽带定位解算,实验结果表明,所提方法比已有定位解算方法具有更高的定位解算精度
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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 MA Dongju,LI Min,ZHANG Duanjin.TOA Estimation of Indoor Localization by Wi-Fi Signal Based on Waveform Edge Detection[J].Journal of Zhengzhou University (Engineering Science),2022,43(01):15.[doi:10.13705/j.issn.1671-6833.2022.03.014]

更新日期/Last Update: 2020-02-22