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Volume 41 Issue 1
Jan.  2019
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Baiqiang YIN, Shudong WANG, Yigang HE, Lei ZUO, Bing LI, Zhen CHENG. Electromagnetic Environment Complex Evaluation Algorithm Based on Fast S-transform and Time-frequency Space Model[J]. Journal of Electronics & Information Technology, 2019, 41(1): 195-201. doi: 10.11999/JEIT180256
Citation: Baiqiang YIN, Shudong WANG, Yigang HE, Lei ZUO, Bing LI, Zhen CHENG. Electromagnetic Environment Complex Evaluation Algorithm Based on Fast S-transform and Time-frequency Space Model[J]. Journal of Electronics & Information Technology, 2019, 41(1): 195-201. doi: 10.11999/JEIT180256

Electromagnetic Environment Complex Evaluation Algorithm Based on Fast S-transform and Time-frequency Space Model

doi: 10.11999/JEIT180256
Funds:  The National Natural Science Foundation of China (61501162, 51577046), The Key Laboratory of Nondestructive Testing (Nanchang Hang Kong University) Opening Foundation, Ministry of Education (JZ2015SJSY0018), The State Key Program of National Natural Science Foundation of China (51637004), The National Key Research and Development Plan (2016YFF0102200)
  • Received Date: 2018-03-21
  • Rev Recd Date: 2018-08-13
  • Available Online: 2018-09-04
  • Publish Date: 2019-01-01
  • For qualitative and quantitative complex evaluation problem of electromagnetic environment. This paper proposes a novel electromagnetic environment complex evaluation algorithm based on fast S-transform and time-frequency space model, which can count time-complex, frequency-complex and energy-complex simultaneously. Meanwhile, the computation methods and concept of qualitative and quantitative evaluation degree are introduced. To overcome the limitations of the traditional methods, F-norm and root-mean-square are selected as two important evaluation indicators, which have the advantage in accurate evaluation. Simulation results show that the proposed method is accurate and effective to reflect the intensity degree of electromagnetic interference; Meanwhile, the interference experiment of bus card confirms the correctness of the time-frequency space model. The experimental test results verify the correctness of the mentioned evaluators.

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