Abstract
The Narrow Band Internet of Things (NB-IoT) for low-power, wide-coverage, and low-cost requirements solves the problem of massive Internet of Things device connectivity. NB-IoT supports device connection with large data throughput and long standby time. It is unmatched by traditional cellular data network technology and Bluetooth technology. By combining the NB-IoT positioning with the Lagrangian multiplier improved constrained least squares localization algorithm and the GSM mobile terminal delay estimation algorithm in NLOS environment, a feasible indoor three-dimensional positioning method is proposed. In addition, it reduces the influence of environmental factors on positioning and improves the accuracy of indoor three-dimensional positioning.
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References
Hallberg, J., Nilsson, M., Synnes, K.: Positioning with bluetooth. In: 10th IEEE International Conference on Telecommunications, pp. 954–958 (2003)
Huang, W.: Current status and development trend of NB-IoT low-rate narrowband internet of things communication technology. Electron. Test (6), 58–29 (2017)
Mahmud, M.S., Qaisar, S.U., Benson, C.: Weak GPS signal detection in the presence of strong signals with varying ralative Doppler and long integration gain. In: IEEE/ION Position, Location and Navigation Symposium, pp. 1015–1020 (2016)
Liu, Y., Yang, Z., Wang, X., Jian, L.: Location, localization, and localizibility. J. Comput. Sci. Technol. 25(2), 274–297 (2010)
Gu, Y., Chen, Y., Liu, J., Jiang, X.: Semisupervised deep extreme learning machine for Wi-FI based localization. Neurocomputing 166, 282–293 (2015)
Wu, X., Shen, S., Zhao, J.: Research on wireless sensor network convergence network based on NB-IoT technology. Comput. Appl. Softw. 35(6), pp. 1000–386 (2018)
Dai, B., Yuan, Y., Yu, Y.: Narrowband Internet of Things (NB-IoT) Standards and Key Technologies. People’s Posts and Telecommunications Press, Beijing (2016)
Zhai, X., Wu, C.: Time delay estimation algorithm for time difference positioning in GSM mobile stations. J. Comput. Appl. 36, 22–24 (2016)
Li, S., Hua, J., Wang, D., Zhou, K., Chen, F., Yu, X.: Improved Constrained least squares localization algorithm for lagrangian multiplier in NLOS environment. Chin. J. Sens. Actuators 31(8), 1004–1699 (2018)
Zheng, Z., Hua, J., Jiang, B., et al.: A new non-line-of-sight suppression wireless localization algorithm using the optimization principle. Chin. J. Sens. Actuators 26(5), 722–727 (2013)
Acknowledgements
This work is financially supported by the National Natural Science Foundation of P. R. China (61602261), CERNET Innovation Project (No. NGII20180605), Scientic & Technological Support Project of Jiangsu Province (Nos. BE2015702, BE2016185, BE2016777), Postgraduate Research and Practice Innovation Program of Jiangsu Province (No. KYCX 17_0798, No. KYCX18_0931) and NUPT STITP (No. SZDG2018014).
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Xue, D., Xu, H., Li, P. (2019). An Indoor 3D Positioning Technology Based on NB-IoT. In: Barolli, L., Takizawa, M., Xhafa, F., Enokido, T. (eds) Web, Artificial Intelligence and Network Applications. WAINA 2019. Advances in Intelligent Systems and Computing, vol 927. Springer, Cham. https://doi.org/10.1007/978-3-030-15035-8_4
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DOI: https://doi.org/10.1007/978-3-030-15035-8_4
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