Increasing DGPS accuracy by use of Kalman filtering

Volodymyr I. Ponomaryov; Luis Nino de Rivera; Oleksiy B. Pogrebnyak; Jacobo Benjamin Donnadieu

doi:10.1117/12.405795

31 October 2000 Increasing DGPS accuracy by use of Kalman filtering

Volodymyr I. Ponomaryov, Luis Nino de Rivera, Oleksiy B. Pogrebnyak, Jacobo Benjamin Donnadieu

Proceedings Volume 4091, Imaging Technology and Telescopes; (2000) https://doi.org/10.1117/12.405795
Event: International Symposium on Optical Science and Technology, 2000, San Diego, CA, United States

Abstract

Differential GPS (DGPS) is the system used for improving accuracy in GPS position and velocity estimation. Measurements can be obtained in real time with a high level of accuracy by means of use DGPS for task the vehicle tracking, dispatching, location, navigation, etc. In this paper we present a modified Kalman filter for DGPS to achieve an accurate estimation of the position and velocity. The proposed and realized algorithms in DGPS system can be implemented by low cost commercial C/A code GPS modules. With the help of Kalman filter the reducing of the anti-common errors between the users and reference station has been achieved. Two variants of the Kalman filters have been investigated. It is presented the experimental testing of the performance of DGPS with Kalman filtering. The used filtering procedure has shown the possibility to reduce the anti-common errors. The proposed and investigated procedures of Kalman filtering could be used for better positioning in the different navigation and positioning applications.

Citation Download Citation

Volodymyr I. Ponomaryov, Luis Nino de Rivera, Oleksiy B. Pogrebnyak, and Jacobo Benjamin Donnadieu "Increasing DGPS accuracy by use of Kalman filtering", Proc. SPIE 4091, Imaging Technology and Telescopes, (31 October 2000); https://doi.org/10.1117/12.405795

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available