Aligning training modelswith smartphone properties in WiFi fingerprinting based indoor localization

• Published in: 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) pp. 1981 - 1985
• Main Authors: Hoang, Manh Kha, Schmalenstroeer, Joerg, Haeb-Umbach, Reinhold
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.04.2015
• Subjects: censored data; expectation maximization; Indoor positioning; Integrated circuits; maximum likelihood linear regression; Radio frequency; signal strength; Speech; Transforms

We are concerned with the so-called fingerprinting method for WiFi-based indoor positioning, where the measured received signal strength index (RSSI) is compared with training data to come up with an estimate of the user's location. We introduce a method for adapting the trained models to the s...