Wireless Positioning Method for Non-Line-of-Sight Scene Based on Multipath Features

Wireless positioning technology plays a crucial role in the domains of communication, navigation, and autonomous driving. The efficacy of conventional and relatively precise positioning technologies, such as satellite and Ultra-wide Bandwidth (UWB) positioning, tends to diminish in non-line-of-sight scenarios. Consequently, the development of wireless positioning technology for non-line-of-sight scenarios is imperative. This paper proposes a wireless positioning method for non-line-of-sight scene based on multipath features. Firstly, we outline the overall framework of the positioning system, consisting of two main stages which are constructing the fingerprint database and performing positioning. Secondly, we describe the method for building the fingerprint database. Finally, we design three positioning algorithms based on the multipath delay time feature, multipath field strength feature and the combination of these two. We validate our algorithms in outdoor non-line-of-sight scenario with computer experiments and achieve promising positioning performance.