A low-complexity data-fusion algorithm based on adaptive weighting for location estimation

Yih Shyh Chiou, Fuan Tsai, Sheng Cheng Yeh

研究成果: 書貢獻/報告類型會議論文篇章同行評審

4 引文 斯高帕斯(Scopus)

摘要

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.

原文???core.languages.en_GB???
主出版物標題Proceedings - 3rd International Conference on Information Security and Intelligent Control, ISIC 2012
頁面294-297
頁數4
DOIs
出版狀態已出版 - 2012
事件3rd International Conference on Information Security and Intelligent Control, ISIC 2012 - Yunlin, Taiwan
持續時間: 14 8月 201216 8月 2012

出版系列

名字Proceedings - 3rd International Conference on Information Security and Intelligent Control, ISIC 2012

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???event.eventtypes.event.conference???3rd International Conference on Information Security and Intelligent Control, ISIC 2012
國家/地區Taiwan
城市Yunlin
期間14/08/1216/08/12

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