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基于改进TDOA在煤矿井下超宽带定位算法的研究
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作者:
作者单位:

1.煤炭科学技术研究院有限公司, 北京 100013; 2.煤炭资源高效开采与洁净利用国家重点实验室, 北京 100013; 3.北京市煤矿安全工程技术研究中心, 北京 100013

中图分类号:

TN925

基金项目:

天地科技股份有限公司科技创新创业资金专项 项目(2020-TD-MS001)、 煤科院基础基金项目(2019CX-Ⅱ-15)


Based on improved TDOA in underground mine research on UWB location algorithm
Author:
  • Chen Hao

    Chen Hao

    1.Coal Science and Technology Research Institute Co., Ltd。Beijing, 100013, China; 2. State Key Laboratory for efficient mining and clean utilization of coal resources, Beijing 100013, China; 3. Beijing Coal Mine Safety Engineering Technology Research Center, Beijing 100013, China
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  • Li Qiwei

    Li Qiwei

    1.Coal Science and Technology Research Institute Co., Ltd。Beijing, 100013, China; 2. State Key Laboratory for efficient mining and clean utilization of coal resources, Beijing 100013, China; 3. Beijing Coal Mine Safety Engineering Technology Research Center, Beijing 100013, China
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  • Wang Zilong

    Wang Zilong

    1.Coal Science and Technology Research Institute Co., Ltd。Beijing, 100013, China; 2. State Key Laboratory for efficient mining and clean utilization of coal resources, Beijing 100013, China; 3. Beijing Coal Mine Safety Engineering Technology Research Center, Beijing 100013, China
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Affiliation:

1.Coal Science and Technology Research Institute Co., Ltd。Beijing, 100013, China; 2. State Key Laboratory for efficient mining and clean utilization of coal resources, Beijing 100013, China; 3. Beijing Coal Mine Safety Engineering Technology Research Center, Beijing 100013, China

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    摘要:

    针对煤矿井下定位复杂度高, 定位精度要求高等特点。为提升煤矿井下精确定位的精度与效率，保证人员安全等需要，提出了基于改进TDOA的超宽带定位算法。根据井下巷道条件不同, 采用不同训练与滤波的方法, 最大程度保证了井下定位的精度与效率。实验表明, 联合算法在视距与非视距情况下，定位均值精度均能够保持在10cm以下，且与基础TDOA算法相比，在视距与非视距条件下，均值精度分别提高了20cm与35cm；而在视距情况下，运用训练完成的神经网络进行高速定位，提升了定位效率。因此，联合算法能够实现在不同环境下定位精度与定位效率的兼顾, 可满足井下高精度定位的要求，适用于矿山井下人员定位。

    Abstract:

    Aiming at the characteristics of high complexity and high accuracy of underground coal mine positioning. For improving the accuracy and efficiency of coal mine precise positioning and ensure the safety of personnel, an ultra wideband positioning algorithm based on improved TDOA is proposed. According to the different conditions of underground roadway, different training and filtering methods are adopted to ensure the accuracy and low complexity of underground positioning. The experimental results show that the average positioning accuracy of the combined algorithm can be maintained below 10cm in both LOS and NLOS, and compared with the basic TDOA algorithm, the average positioning accuracy is improved by 20cm and 35cm in LOS and NLOS, respectively; while in Los, the trained neural network is used for high-speed positioning to improve the positioning efficiency. Therefore, the combined algorithm can achieve the balance of positioning accuracy and efficiency in different environments, meet the requirements of high-precision positioning underground, and is suitable for underground personnel positioning.

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陈浩,李起伟,王子龙.基于改进TDOA在煤矿井下超宽带定位算法的研究[J].电子测量技术,2021,44(6):96-102

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  • 在线发布日期: 2024-10-18
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