隐蔽空间下超宽带 TDOA定位算法研究

doi:10.3969/j.issn.1673-4440.2021.03.016

铁路通信信号工程技术 ›› 2021, Vol. 18 ›› Issue (3): 78-82.DOI: 10.3969/j.issn.1673-4440.2021.03.016

隐蔽空间下超宽带 TDOA定位算法研究

王佰亮，刘江波

国家粮食和物资储备局，北京 100038

收稿日期:2020-12-07 修回日期:2020-12-27 出版日期:2021-03-25 发布日期:2021-08-17

Research on UWB TDOA Location Algorithm for Indoor, Underground and Tunnel Environments

Wang Bailiang, Liu Jiangbo

National Food and Strategic Reserves Administration, Beijing 100038, China

Received:2020-12-07 Revised:2020-12-27 Online:2021-03-25 Published:2021-08-17

摘要/Abstract

摘要： 针对隧道等隐蔽空间环境复杂，干扰严重，最小二乘位置解算方法定位精度低的情况，研究一种结合最小二乘（Least Square，LS）位置求解方法的BP（Back Propagation）神经网络定位算法。首先基于超宽带（Ultra Wide Band，UWB）系统到达时间差（Time Difference Of Arrival，TDOA）利用最小二乘法进行位置解算，然后根据解算得到的初始位置进行TDOA测量值修正，BP神经网络基于修正后的TDOA对LS定位结果进行优化。仿真结果表明，该方法可以有效克服非视距误差影响，定位精度大幅提高，且在不同误差环境下具有一定通用性。

关键词: UWB定位, TDOA, 最小二乘, BP神经网络

Abstract: In a complex environment with serious interference, e.g. in a tunnel, the positioning accuracy of the least square method (LS) is low. In this paper, a BP neural network location algorithm combined with least square is studied. Firstly, the least square method is used to determine the position based on the time difference of arrival (TDOA) in UWB system, and then the measured value of TDOA is modified according to the initial position obtained by the LS method. The modified TDOA is used by the BP neural network to get final location results. The simulation results show that the influence of NLOS (non-line-of-sight) is reduced and the accuracy of the proposed LS-BP method is greatly improved compared with that of the LS method. The proposed LS-BP method can be applied to handle errors in certain different environments.

Key words: UWB positioning, TDOA, least square, BP neural network

王佰亮, 刘江波. 隐蔽空间下超宽带 TDOA定位算法研究[J]. 铁路通信信号工程技术, 2021, 18(3): 78-82.

Wang Bailiang, Liu Jiangbo. Research on UWB TDOA Location Algorithm for Indoor, Underground and Tunnel Environments[J]. Railway Signalling & Communication Engineering, 2021, 18(3): 78-82.

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隐蔽空间下超宽带 TDOA定位算法研究

Research on UWB TDOA Location Algorithm for Indoor, Underground and Tunnel Environments

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