Parameter Estimation of Double Exponential Pulse Based on Artificial Neural Network
Authors
Zhizhen Zhu, Yuewu Shi, Jing Yang, Xin Nie, Hui Zhou
Corresponding Author
Zhizhen Zhu
Available Online December 2015.
- DOI
- 10.2991/nceece-15.2016.226How to use a DOI?
- Keywords
- Double Exponential Function; High-altitude Electromagnetic Pulse (HEMP); Artificial Neural Network (ANN); Parameter Estimation; Estimation Error
- Abstract
In the study of high-power electromagnetic environments, double exponential function is widely used. The physical parameters of the pulse are the rise time tr and the pulse width tw, which have a strong relation with and , the key parameters of the double exponential function. In actual use, the transformation of tr, tw and , is very necessary, but difficult. In this paper, a method based on artificial neural network is proposed. The parameter can be given out directly by the solution, and is easy to calculate. Simulation is carried out for verification. The estimation errors are less than 2.10% for both and .
- Copyright
- © 2016, 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/).
Cite this article
TY - CONF AU - Zhizhen Zhu AU - Yuewu Shi AU - Jing Yang AU - Xin Nie AU - Hui Zhou PY - 2015/12 DA - 2015/12 TI - Parameter Estimation of Double Exponential Pulse Based on Artificial Neural Network BT - Proceedings of the 2015 4th National Conference on Electrical, Electronics and Computer Engineering PB - Atlantis Press SP - 1281 EP - 1286 SN - 2352-5401 UR - https://doi.org/10.2991/nceece-15.2016.226 DO - 10.2991/nceece-15.2016.226 ID - Zhu2015/12 ER -