Proceedings of the Advances in Materials, Machinery, Electrical Engineering (AMMEE 2017)

The Optimal Weight Allocation Method of Containing Predicted Values and Measured Values

Authors
Yanting Wang, Xu Zhang, Fan Zhao, Min Liu, Guolin Liu
Corresponding Author
Yanting Wang
Available Online June 2017.
DOI
https://doi.org/10.2991/ammee-17.2017.72How to use a DOI?
Keywords
Target tracking, Data fusion, the optimal weight allocation method, Maneuvering frequency.
Abstract
For the practical issue of multi-sensor data fusion in target tracking, this paper combines the predicted values and the measured values weighted together. The optimal weight allocation method of Containing predicted values and measured values is presented. In theory, the more the number of sensors is, the higher the precision of the data fusion will be. When the predicted value has been seen as a measured value of a sensor, the precision of data fusion will be improved. In addition, a method of the establishment of the maneuvering frequency which can get a better effect of tracking is presented. Numerical examples show that, the optimal weight allocation method of containing predicted values and measured values is better than the method of containing only measured values, the improvement on maneuvering frequency of current statistical model can obtain better tracking effect.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
Advances in Materials, Machinery, Electrical Engineering (AMMEE 2017)
Part of series
Advances in Engineering Research
Publication Date
June 2017
ISBN
978-94-6252-350-0
DOI
https://doi.org/10.2991/ammee-17.2017.72How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Yanting Wang
AU  - Xu Zhang
AU  - Fan Zhao
AU  - Min Liu
AU  - Guolin Liu
PY  - 2017/06
DA  - 2017/06
TI  - The Optimal Weight Allocation Method of Containing Predicted Values and Measured Values
BT  - Advances in Materials, Machinery, Electrical Engineering (AMMEE 2017)
PB  - Atlantis Press
UR  - https://doi.org/10.2991/ammee-17.2017.72
DO  - https://doi.org/10.2991/ammee-17.2017.72
ID  - Wang2017/06
ER  -