Algorithm for Improving GPS Performance by Data Pre-processing

Autor: Rhee Jae-Hoon, Hong Won-Chul, Kim Hyun-Soo, Jeon Chang-Wan
Rok vydání: 2006
Předmět:
Zdroj: Journal of Control, Automation and Systems Engineering. 12:752-758
ISSN: 1225-9845
DOI: 10.5302/j.icros.2006.12.8.752
Popis: A GPS receiver provides much information such as calculated position, speed, heading, status of satellites, current time errors, etc. It is well-known that GPS signals from GPS receiver mounted on moving vehicle are often distorted, contaminated by various noises, and blocked by tunnel or tall buildings. The phenomenon often obstructs correct navigation especially when a vehicle keeps stopping or is moving in low speed. Therefore it is needed to pre-process the signals to adapt it to various applications. In this paper, an algorithm to pre-process the signals is proposed. For this, GPS data obtaining from uNAV GPS receiver are analyzed and classified based on dynamic characteristic. Then, the proposed algorithm is applied to the data and some test results are shown to verify the usefulness of the algorithm.
Databáze: OpenAIRE