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JACIII Vol.23 No.5 pp. 891-897
doi: 10.20965/jaciii.2019.p0891
(2019)

Letter:

Evaluation Method for Complex Electromagnetic Environment

Yan Li*,†, Yigang He**, and Baiqiang Yin**

*School of Information and Electrical Engineering, Hunan University of Science and Technology
Taoyuan Road, Xiangtan, Hunan 411201, China

**School of Electrical Engineering and Automation, Hefei University of Technology
No.193 Tunxi Road, Hefei, Anhui 230009, China

Corresponding author

Received:
November 15, 2016
Accepted:
April 15, 2019
Published:
September 20, 2019
Keywords:
electromagnetic environment complexity, evaluation, S-transform, extreme learning machine
Abstract
Evaluation Method for Complex Electromagnetic Environment

Flow chart of extreme learning machine to realize electromagnetic environment complexity evaluation

To perform a complexity evaluation for an electromagnetic environment (EME), a new method based on the S-transform is proposed, which can simultaneously count the time occupancy, frequency occupancy, and energy occupancy in the time–frequency domain. The frequency coincidence, modulation similarity, and background noise intensity are selected as important evaluation indices, and their physical interpretations are analyzed and calculated. The Extreme Learning Machine (ELM) method is adopted to evaluate the environmental complexity. The proposed method (S-ELM) requires less training time and has a fast convergence rate. The simulation and experimental results confirm that the proposed method is accurate and efficient.

Cite this article as:
Y. Li, Y. He, and B. Yin, “Evaluation Method for Complex Electromagnetic Environment,” J. Adv. Comput. Intell. Intell. Inform., Vol.23, No.5, pp. 891-897, 2019.
Data files:
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Last updated on Nov. 08, 2019