Institution of Engineering and Technology;Stevenage: The Institution of Engineering and Technology
摘要:
摘要： This study presents an efficient location tracking algorithm to reduce the computational complexity of the conventional Kalman filtering algorithm. In the proposed location estimation and tracking approach, using the inherent message-passing nature of factor graphs, the data information is passed efficiently between the variable nodes and the factor nodes by taking weights based on the message reliability, thus simplifying implementation of the Bayesian filtering approach for location tracking. Numerical simulations and experimental results show that the proposed location tracking scheme not only can achieve the location accuracy close to that of the Kalman filtering scheme, but also has lower computational complexity with decoupling approach. 出版者： Stevenage: The Institution of Engineering and Technology 出版日期： 2013-05 出處： IET communications, 2013-05, Vol.7 (7), p.673-684 資源來源： Wiley Online Library Open Access 版權： The Institution of Engineering and Technology 版權： 2021 The Institution of Engineering and Technology 版權： Copyright The Institution of Engineering & Technology May 2013 識別號： ISSN: 1751-8628 識別號： ISSN: 1751-8636 識別號： EISSN: 1751-8636 識別號： DOI: 10.1049/iet-com.2011.0826
