2026-05-30T01:10:50Zhttps://riuma.uma.es/rest/oai/request

oai:riuma.uma.es:10630/339212026-02-03T10:59:11Zcom_10630_2254col_10630_37953

00925njm 22002777a 4500 dc Álvarez-Merino, Carlos Simón author Luo Chen, Hao Qiang author Khatib, Emil Jatib author Barco-Moreno, Raquel author 2021-10 High-precision indoor localisation is becoming a necessity with novel location-based services that are emerging around 5G. The deployment of high-precision indoor location technologies is usually costly due to the high density of reference points. In this work, we propose the opportunistic fusion of several different technologies, such as ultra-wide band (UWB) and WiFi fine-time measurement (FTM), in order to improve the performance of location. We also propose the use of fusion with cellular networks, such as LTE, to complement these technologies where the number of reference points is under-determined, increasing the availability of the location service. Maximum likelihood estimation (MLE) is presented to weight the different reference points to eliminate outliers, and several searching methods are presented and evaluated for the localisation algorithm. An experimental setup is used to validate the presented system, using UWB and WiFi FTM due to their incorporation in the latest flagship smartphones. It is shown that the use of multi-technology fusion in trilateration algorithm remarkably optimises the precise coverage area. In addition, it reduces the positioning error by over-determining the positioning problem. This technique reduces the costs of any network deployment oriented to location services, since a reduced number of reference points from each technology is required. Álvarez-Merino, C.S.; Luo-Chen, H.Q.; Khatib, E.J.; Barco, R. WiFi FTM, UWB and Cellular-Based Radio Fusion for Indoor Positioning. Sensors 2021, 21, 7020. https://doi.org/10.3390/s21217020 https://hdl.handle.net/10630/33921 10.3390/s21217020 Redes inalámbricas WiFi FTM, UWB and cellular-based radio fusion for indoor positioning