Journal of Beijing University of Posts and Telecommunications

  • EI核心期刊

JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM ›› 2014, Vol. 37 ›› Issue (4): 34-38.doi: 10.13190/j.jbupt.2014.04.008

• Papers • Previous Articles     Next Articles

Credibility Based Data Fusion Algorithm for Multi-Positioning System

YIN Lu, DENG Zhong-liang, XI Yue   

  1. School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China
  • Received:2013-08-08 Online:2014-08-28 Published:2014-08-09

Abstract:

An adaptive federated Kalman filter model for multi-positioning system used in urban was proposed.Firstly, the credibility of subsystems was evaluated by estimating the position errors and the credible factors was obtained.Secondly, the information sharing factors of federated Kalman filter were assigned by credible factors to adaptive filtering.To assess the filtering effect, a new assessment method was proposed. Simulation demonstrates the effectiveness of the filtering algorithm and assessment method.

Key words: data fusion, federated Kalman filter, filter-stimuli-parameters function, optimal filtering ratio, credible factor

CLC Number: