Abstract
Through comparing the radio signals used in indoor positioning at home and abroad, it is found that FM broadcasting has certain advantages in indoor positioning, and through the localization algorithm at home and abroad, the position fingerprint localization algorithm based on FM signal features is proposed, and the comprehensive comparison classification algorithm is used. Finally, it is concluded that the accuracy of FM signal feature localization method can reach 1.5 m in 90% cases.
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Wang, Xm., Song, B., Xue, W.c. (2021). The Design and Development of FM Localization Algorithm Based on KNN Model. In: Liang, Q., Wang, W., Liu, X., Na, Z., Li, X., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2020. Lecture Notes in Electrical Engineering, vol 654. Springer, Singapore. https://doi.org/10.1007/978-981-15-8411-4_271
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DOI: https://doi.org/10.1007/978-981-15-8411-4_271
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