Abstract
In the trajectory tracking process of indoor environment, in order to reduce the communication overhead and reduce the complexity of the algorithm, a human trajectory tracking method for improving the CSI (Channel State Information) signal is proposed. Firstly, the AOA (Angle-of-Arrival) spectrum is extracted from the CSI to represent the probability of the target position (angle), and the Doppler shift obtained by the Music algorithm is combined with the AOA spectrum to determine the moving speed and position of the personnel. Finally, The neural network algorithm determines the position of personnel and simulates the movement trajectory of the personnel to achieve accurate tracking and positioning of indoor personnel. Compared with other algorithms and different people’s movement speeds, simulation experiments show that the personnel tracking method proposed in this paper can greatly improve the accuracy and stability of positioning.
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Acknowledgements
This work was supported by the National Natural Science Foundation of China under Grant No. 61363059, No. 61762079, and No. 61662070, Key Science and Technology Support Program of Gansu Province under Grant No. 1604FKCA097 and No. 17YF1GA015, Science and Technology Innovation Project of Gansu Province under Grant No. 17CX2JA037 and No. 17CX2JA039.
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Hao, Z., Li, B., Dang, X. (2018). A Method of Improving the Tracking Method of CSI Personnel. In: Zhou, Q., Miao, Q., Wang, H., Xie, W., Wang, Y., Lu, Z. (eds) Data Science. ICPCSEE 2018. Communications in Computer and Information Science, vol 902. Springer, Singapore. https://doi.org/10.1007/978-981-13-2206-8_26
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DOI: https://doi.org/10.1007/978-981-13-2206-8_26
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