A distributed newton iteration based localization scheme in underground tunnels

Abstract

One of the main concerns in underground working tunnels is ensuring the safety of the workers and their equipment. Being aware of the real-time position of personnel in such harsh environment is challenging and requires a sophisticated localization system. With traditional Received Signal Strength (RSS) failing to accurately estimate the distance between nodes due to multipath effect in such long and narrow space, Radio Frequency Time-of-Flight (RF-TOF) is proved to be an alternative method for more accurate distance estimation. To reduce the communication cost, a distributed localization scheme is proposed, where a simple Newton Iteration location estimation algorithm is embedded in the blind node. Linear least square estimation is used as the initial value to accelerate the convergence of the iteration. Experimental results show the effectiveness of the proposed scheme.

Magnetic Field-Based Vehicle Positioning System in Long Tunnel Environment

“…It is difficult to apply the existing infrastructure-based indoor positioning system [4-10] to the vehicle in tunnel environment because it is not easy to install and manage the infrastructure in the tunnel of several kilometers. In several prior studies, position estimation in tunnel environments has been conducted using Wi-Fi [11], wireless sensor networks (WSN) [12], radio frequency identification (RFID) [13] and visible light communication (VLC) [14,15]. In [16], an angle offset-assisted positioning method was proposed for railway vehicle positioning in tunnel environments.…”