Abstract
GNSS signal can be widely used in outdoor environment. However, due to the barrier of walls, GNSS signal becomes too weak to be used in indoor environment. This paper analyzed the Wi-Fi based indoor positioning method, which is mostly widely researched, introduced a DTMB based indoor positioning method and confirmed its feasibility. By using the KNN algorithm and the DTMB signal’s location fingerprint, the indoor positioning system proposed by this paper can locate any unknown nodes inside the room. And also some tests were designed to measure the positioning accuracy. Test results showed that the accuracy of the DTMB based indoor positioning system is similar to the Wi-Fi based positioning system. The new DTMB based indoor positioning method can be a useful complement to the existing indoor positioning methods.
This work was supported by Ph.D. Programs Foundation of Ministry of Education of China (20110031110028), Tianjin Research Program of Application Foundation and Advanced Technology (13JCZDJC26000, 13JCQNJC01000).
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Wang, Q. et al. (2015). Indoor Location Fingerprinting System Using DTMB Signal. In: Sun, J., Liu, J., Fan, S., Lu, X. (eds) China Satellite Navigation Conference (CSNC) 2015 Proceedings: Volume III. Lecture Notes in Electrical Engineering, vol 342. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-46632-2_38
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DOI: https://doi.org/10.1007/978-3-662-46632-2_38
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