Journal of Beijing University of Posts and Telecommunications

  • EI核心期刊

JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM ›› 2013, Vol. 36 ›› Issue (6): 32-36.doi: 10.13190/j.jbupt.2013.06.007

• Papers • Previous Articles     Next Articles

Location Information Fusion Algorithm for GPS/Base-Station Positioning System Based on Federated Kalman Filter

DENG Zhong-liang, YIN Lu, YANG Lei, YU Yan-pei, XI Yue   

  1. School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China
  • Received:2012-07-20 Online:2013-12-31 Published:2013-10-08

Abstract:

An information fusion algorithm was proposed for using both global positioning system (GPS)/base-station positioning system to get high positioning accuracy. The system state was modeled by analyzing the movement features, and the federated Kalman filter was used to fuse the two systems. The effect of information distribution factor was analyzed. A distribution method was proposed by horizontal dilution of precision and carrier to noise ratio. The positioning accuracy was improved by using the proposed algorithm. Simulations and examinations show the effectiveness of the algorithm.

Key words: federated Kalman filter, global positioning system, base-station positioning system, horizontal dilution of precision, carrier to noise ratio

CLC Number: