RT Journal Article
SR Electronic
T1 Improved urban navigation with shadow matching and specular matching
JF NAVIGATION: Journal of the Institute of Navigation
JO NAVIGATION
FD Institute of Navigation
SP 547
OP 565
DO 10.1002/navi.378
VO 67
IS 3
A1 Strandjord, Kirsten L.
A1 Axelrad, Penina
A1 Mohiuddin, Shan
YR 2020
UL https://navi.ion.org/content/67/3/547.abstract
AB As the dependence of Global Navigation Systems (GNSS) increases, so does a growing demand for GNSS accuracy in urban environments. This research aims to improve navigation in these environments by integrating non-line-of-sight signals, building models, and measured signal to noise ratios in ways not typically used in GNSS positioning. We propose a technique of combining elements of shadow matching, non-line-of-sight signal prediction through ray tracing, and collaborative navigation. A specularity metric is developed, which predicts the likelihood of building reflections resulting in non-line-of-sight signal reception, and is used in conjunction with shadow matching techniques to improve positioning. A framework for implementing these approaches is presented and demonstrated using improved positioning techniques built and tested using real-world data collected in urban surroundings.