Research on accurate location algorithm of mine moving target based on UWB Information vector and CNN-LSTM

Kun Yang

doi:10.1117/12.3005803

10 October 2023 Research on accurate location algorithm of mine moving target based on UWB Information vector and CNN-LSTM

Kun Yang

Author Affiliations +

Proceedings Volume 12799, Third International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2023); 127993J (2023) https://doi.org/10.1117/12.3005803
Event: 3rd International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2023), 2023, Kuala Lumpur, Malaysia

Abstract

Based on UWB signal measurements and depth learning models, research on single base station moving target precise positioning algorithms has been carried out to address the need for precise positioning of moving targets in complex environments such as non visual range, electromagnetic interference, dust, humidity, and water in coal mines. The calculation model of signal transmission time based on bilateral two-way interaction model is analyzed, and the calculation method of signal distance term parameter vector and signal angle term parameter vector is constructed. The information vector of UWB signal is formed by combining distance term parameter vector and angle term parameter vector; A tag position coordinate calculation model based on depth learning model is constructed, and combined with geometric relationship calculation, the two-dimensional coordinate calculation of mine moving targets is completed. Experimental analysis shows that the proposed positioning algorithm has a minimum root mean square error of 9.22 cm and a maximum root mean square error of 18.87 cm in positioning coordinates, which has a good positioning effect and provides a new idea for accurate positioning of mine moving targets.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Kun Yang "Research on accurate location algorithm of mine moving target based on UWB Information vector and CNN-LSTM", Proc. SPIE 12799, Third International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2023), 127993J (10 October 2023); https://doi.org/10.1117/12.3005803

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KEYWORDS

Antennas

Mining

Detection and tracking algorithms

Error analysis

Ranging

Feature extraction

Convolutional neural networks

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