A GDOP-Weighted Intersection Method for Ray-Trace Based Target Localization using AOA Measurements in Quasi-Specular Environment

Abstract

Abstract. Whereas environment modeling of current ray tracing algorithm used for locating is too ideal and the positioning accuracy is not high because AOA based weight intersection method fails to consider singularity bearing line intersection, this paper sets up AOA localization model on quasi-specular condition and proposes a GDOP-weighted intersection method (GWIAOA-RT) for ray-trace based target localization using AOA measurements. The method firstly utilizes idea of cluster to complete tracing propagation paths of multipath signal, gains virtual building surface after revised according to tracing result, constructs image base station, translates non-line-of-sight(NLOS) path into line-of-sight(LOS) path; then utilizes AOA measurements on each path and gets all intersections of bearing line; further utilizes circular error probable (CEP) to determine effective intersections, gives corresponding weight according to Geometric Dilution of Precision (GDOP) of effective intersections, and weighted merge them to estimate the position of target. The method utilizes multipath signal to eliminate the impact of NLOS noise on positioning accuracy as well as consideration of position error of image base station in GDOP calculation. It has strong robustness. Simulation result shows that compared with existing methods, GWIAOA-RT method has higher positioning accuracy and better adaptation in different application scenarios.

A Simple Sign-Bit Probabilistic Shaping Scheme

“…Indoor non line-of-sight (NLoS) positioning based on radio signals is a challenging problem which cannot be addresses via standard LoS-based techniques. Therefore, most solutions for this situation either rely on machine learning/fingerprinting approaches [2][14] [16] or digital twin-based techniques (often using ray tracing) [3][4] [5] [6][8] [7] [11][13].…”

“…The intersection of the rays is then the estimated position of the UE. This approach, illustrated on Figure 1, can be called "reverse/backward ray tracing" [3][5] [6] [11] [13].…”

“…The considered width of the interval is twice the estimated standard deviation of the estimated AoA value. In [6], the same authors propose to weight the obtained ray intersections (using the same launching method) with the "dilution of precision" approach. Note that [5] is the benchmark used in the simulation results of [7] (where a significant improvement is shown).…”

Robust Outdoor Positioning via Ray Tracing

“…RT channel modelling has a good accuracy [7] and papers [8][9][10] describes RT positioning. Developed C++ RT simulator has two main operating options: channel modelling and positioning.…”

Robust Outdoor Positioning Via Ray Tracing

“…RT channel modelling has a good accuracy and can be used for positioning [7][8][9][10]. Developed C++ RT simulator has two main operating options: channel modelling and positioning [22].…”