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

DOI

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.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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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  - Proceedings of the Advances in Materials, Machinery, Electrical Engineering (AMMEE 2017)
PB  - Atlantis Press
SP  - 380
EP  - 385
SN  - 2352-5401
UR  - https://doi.org/10.2991/ammee-17.2017.72
DO  - 10.2991/ammee-17.2017.72
ID  - Wang2017/06
ER  -