@inproceedings{7cb8f9049ec842e58bc9f8c5397ff063,
title = "A low-complexity data-fusion algorithm based on adaptive weighting for location estimation",
abstract = "In this paper, a tracking scheme based on adaptive weighted technique is proposed to reduce the computational load of traditional data-fusion algorithm for heterogeneous measurements. For the location-estimation technique with the data fusion of radio-based ranging measurement and speed-based sensing measurement, the proposed tracking scheme based on the Bayesian approach is handled by a state space model; a weighted technique with the reliability of message passing is based on the error propagation law. As compared with a traditional data-fusion algorithm based on a Kalman filtering approach, the proposed scheme that combines radio ranging measurement with speed sensing measurement for data fusion has much lower computational complexity with acceptable location accuracy.",
keywords = "Bayesian approach, data-fusion, error propagation, Kalman filtering, location estimation, tracking",
author = "Chiou, {Yih Shyh} and Fuan Tsai and Yeh, {Sheng Cheng}",
year = "2012",
doi = "10.1109/ISIC.2012.6449764",
language = "???core.languages.en_GB???",
isbn = "9781467325882",
series = "Proceedings - 3rd International Conference on Information Security and Intelligent Control, ISIC 2012",
pages = "294--297",
booktitle = "Proceedings - 3rd International Conference on Information Security and Intelligent Control, ISIC 2012",
note = "3rd International Conference on Information Security and Intelligent Control, ISIC 2012 ; Conference date: 14-08-2012 Through 16-08-2012",
}