Abstract
This paper comprehensively analyzes the fingerprint features such as rssi, snr, stereo separation degree of fm signal for positioning calculation, and finds that outdoor positioning technology based on fm signal has limited practical application value, but it has more advantages than wireless positioning technology such as Wi-Fi in indoor positioning field. This paper proposes a fm fingerprint localization algorithm based on bp neural network. This method effectively reduces the influence of fm signal time migration characteristics on fingerprint localization performance. The experimental results show that the indoor localization accuracy of this method is more than 80% above 3 m, and no additional hardware equipment is required, and the deployment is flexible and convenient.
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Wang, X., Wu, Y., Xue, Wc. (2021). Localization Algorithm Based on Fingerprint Model for FM Signal. 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_270
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DOI: https://doi.org/10.1007/978-981-15-8411-4_270
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