A smart city used low-latency seamless positioning system based on inverse global navigation satellite system technology. (September 2019)

• Record Type: Journal Article
• Authors: Zou, Deyue; Niu, Shutong; Chen, Shuhao; Su, Binhong; Cheng, Xinyi; Liu, Jie; Liu, Yunfeng; Li, Yang
• Is Part Of: International journal of distributed sensor networks. Volume 15:Number 9(2019)
• Publication Date: 2019-09
• Subjects: Global navigation satellite system -- indoor positioning -- low latency -- seamless positioning; Sensor networks -- Periodicals; Intelligent agents (Computer software) -- Periodicals; Multisensor data fusion -- Periodicals; 681.2
• DOI: 10.1177/1550147719873815
• Languages: English
• ISSNs: 1550-1329

Abstract

People have to move between indoor and outdoor frequently in city scenarios. The global navigation satellite system signal cannot provide reliable indoor positioning services. To solve the problem, this article proposes a seamless positioning system based on an inverse global navigation satellite system signal, which can extend the global navigation satellite system service into the indoor scenario. In this method, a signal source is arranged at a key position in the room, and the inverse global navigation satellite system signal is transmitted to the global navigation satellite system receiver to obtain a preset positioning result. The indoor positioning service is continued with the inertial navigation system after leaving the key position. The inverse global navigation satellite system seamless positioning system proposed in this article can unify indoor and outdoor positioning using the same receiver. The receiver does not need to re-receive navigation information when the scene changes, which avoids the switching process. Through the design of signal layer coverage, the receiver is in a warm start state, and the users can quickly fix the position when the scenario changes, realizing quick access in a true sense. This enables the ordinary commercial global navigation satellite system receiver to obtain indoor positioning capability without modification, and the algorithm can perform accurate positioning indoors and outdoors without switching.