Springer Publishing Company;Cham: Springer International Publishing
摘要:
摘要： This article presents a low-complexity and high-accuracy algorithm using message-passing approach to reduce the computational load of the traditional tracking algorithm for location estimation. In the proposed tracking scheme, a state space model for the location-estimation problem can be divided into many mutual-interaction local constraints based on the inherent message-passing features of factor graphs. During each iteration cycle, the message with reliability information is passed efficiently with an adaptive weighted technique and the error propagation law, and then the message-passing approach based on prediction-correction recursion is to simplify the implementation of the Bayesian filtering approach for location-estimation and tracking systems. As compared with a traditional tracking scheme based on Kalman filtering (KF) algorithms derived from Bayesian dynamic model, the analytic result and the numerical simulations show that the proposed forward and one-step backward tracking approach not only can achieve an accurate location very close to the traditional KF tracking scheme, but also has a lower computational complexity. 其他題名： EURASIP J. Adv. Signal Process 出版者： Cham: Springer International Publishing 出版日期： 2012-06-07 出處： EURASIP journal on advances in signal processing, 2012-06, Vol.2012 (1), p.1-18, Article 121 資源來源： ProQuest Open Access Content Collection 版權： Chiou et al; licensee Springer. 2012. This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. 版權： Springer International Publishing AG 2012 識別號： ISSN: 1687-6180 識別號： ISSN: 1687-6172 識別號： EISSN: 1687-6180 識別號： DOI: 10.1186/1687-6180-2012-121
