Indoor Radio Map Construction and Localization With Deep Gaussian Processes

• Published in: IEEE internet of things journal Vol. 7; no. 11; pp. 11238 - 11249
• Main Authors: Wang, Xiangyu, Wang, Xuyu, Mao, Shiwen, Zhang, Jian, Periaswamy, Senthilkumar C. G., Patton, Justin
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 01.11.2020; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Bayes methods; Bayesian analysis; Deep Gaussian process; deep learning; Electronic devices; Estimation; Gaussian process; Gaussian processes; indoor localization; Internet of Things; Localization; Location based services; Mobile handsets; Parameter identification; Radio; radio map construction; Signal processing; Signal strength; Training; Training data

With the increasing demand for location-based service, WiFi-based localization has become one of the most popular methods due to the wide deployment of WiFi and its low cost. To improve this technology, we propose DeepMap, a deep Gaussian process for indoor radio map construction and location estima...