Abstract
With the rapid development of wireless communication, wireless location technology has attracted more and more attention. However, the wireless communication environment is becoming complex. Just relying on only one positioning technology cannot meet the need of the precise positioning. Therefore, a proper fusion algorithm should be used for obtaining higher accuracy. In this paper, we propose a new algorithm based on the TDOA/RSSI data fusion. In this algorithm, the linear regression is used to reduce the interference of small probabilities to get the precise RSSI positioning result. Then, a dynamic weighted data fusion is performed at the decision level by combining the TDOA positioning result. By comparing to the normal TDOA algorithm, the results show that the proposed algorithm solves the problem of location ambiguity and weak robustness, and further improves the positioning accuracy.
Foundation project: The National High Technology Research and Development Program (“863” Program) of China (No. 2015AA124103). The National Natural Science Foundation of China (No. 61401040). The National Science and Technology Support Program of China (No. 2014BAK12B00).
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References
Zhang L, Yu Y (2014) Indoor positioning applications and services of mobile phone. J Navig Positioning 2(4)
Zhao F, Zhao Q, Chen H (2011) TDOA localization algorithm based on RSSI weighted data fusion. J Guilin Univ Electron Technol 31(4)
Wang Q (2012) Research on an indoor positioning technology based on RSSI ranging. Electron Sci Tech 25(6)
An Q, Deng Z, Zhao X, Wang K (2014) Indoor positioning algorithms based on multidimensional information. In: China satellite navigation conference, CSNC 2014-proceedings, vol 305 LNEE, pp 617–625
Deng P (2002) Investigation of mobile station location in celluar network. Southwest Jiaotong University, ChengDu
Fang Z, Zhao Z, Guo P, Zhang Y (2007) Analysis of distance measurement based on RSSI. Chin J Sensor Actuators 20(11)
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© 2016 Springer Science+Business Media Singapore
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Zhai, C., Deng, Z., Jiao, J., Li, N., Zhou, Y., Li, C. (2016). Dynamic Weighted Data Fusion Algorithm Based on TDOA/RSSI for Indoor Location. In: Sun, J., Liu, J., Fan, S., Wang, F. (eds) China Satellite Navigation Conference (CSNC) 2016 Proceedings: Volume II. Lecture Notes in Electrical Engineering, vol 389. Springer, Singapore. https://doi.org/10.1007/978-981-10-0937-2_31
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DOI: https://doi.org/10.1007/978-981-10-0937-2_31
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