Application of Nonlinear Classification Algorithm in Communication Interference Evaluation

  • Yifan Chen
  • Zheng Dou
  • Hui Han
  • Xianglong Zhou
  • Yun LinEmail author
Conference paper
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 279)


Traditional methods of communication interference assessment belong third-party assessments that fail to meet the needs of real-time assessments. This paper proposes an interference level evaluation method under the nonlinear classification algorithm. Firstly, building data set with the eigenvalues that affect the interference effect, and then simulation verify by BP neural network and support vector machine. The simulation results verify the feasibility in communication interference assessment and providing the possibility for real-time evaluation.


Interference level assessment BP neural network Support vector machine 



This work is supported by the National Natural Science Foundation of China (61771154) and the Fundamental Research Funds for the Central Universities (HEUCFG201830).

This paper is also funded by the International Exchange Program of Harbin Engineering University for Innovation-oriented Talents Cultivation.

Meantime, all the authors declare that there is no conflict of interests regarding the publication of this article.

We gratefully thank of very useful discussions of reviewers.


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Copyright information

© ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2019

Authors and Affiliations

  • Yifan Chen
    • 1
  • Zheng Dou
    • 1
  • Hui Han
    • 2
  • Xianglong Zhou
    • 1
  • Yun Lin
    • 1
    Email author
  1. 1.College of Information and Communication EngineeringHarbin Engineering UniversityHarbinChina
  2. 2.State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System (CEMEE)LuoyangChina

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