학술논문

A Graph Optimization Method for GNSS Signal Tracking Loop
Document Type
Conference
Source
2022 IEEE 10th Joint International Information Technology and Artificial Intelligence Conference (ITAIC) Information Technology and Artificial Intelligence Conference (ITAIC), 2022 IEEE 10th Joint International. 10:429-434 Jun, 2022
Subject
Communication, Networking and Broadcast Technologies
Computing and Processing
Engineering Profession
Robotics and Control Systems
Signal Processing and Analysis
Frequency locked loops
Tracking loops
Global navigation satellite system
Codes
Satellites
Optimization methods
Receivers
GNSS
Carrier Tracking
Phase Lock Loop
Graph Optimization
Language
ISSN
2693-2865
Abstract
Global Navigation Satellite System (GNSS) constructed based satellites in space has been extended in almost everywhere in our daily life for providing precise position, velocity and time (PVT) information. GNSS receivers process the signals and generate measurements for calculating the PVT information. Signal tracking in a GNSS receiver is composed of carrier and code tracking, and pseudo-range and pseudo range rates are generated individually from the two tracking loops. A Frequency Lock Loop (FLL) and Phase Lock Loop (PLL) are common methods for carrier tracking and code tracking respectively. Kalman Filter was employed to mitigate the carrier tracking errors with the carrier phase dynamic model. Therefore, the PLL could work with a wider bandwidth to tolerate higher dynamics or weak signals. In this paper, we proposed a Graph Optimization (GO) method based carrier tracking errors mitigation method, GO method utilized the inherent relationship between the tracking errors in time domain. With a GPS L1 dataset collected in real environment, the KF and GO were compared, and the phase tracking errors decreased by xx, which supported the conclusion that GO was superior than KF in mitigating the carrier tracking errors.