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Technology of Network & Communication
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App. Res. of Comp. Printed Article
Vol. 36, 2019 No. 12
3811-3814,3818

Individual identification method of frequency hopping radio based on CMFS-MIC feature selection

Yang Yinsong1
Guo Ying1
Li Hongguang1
Sui Ping1
Yu Xinyong2
1. College of Information & Navigation, Air Force Engineering University, Xi'an 710077, China
2. Air Force Sergeant School of Communication, Dalian Liaoning 116100, China
DOI: 10.19734/j.issn.1001-3695.2018.04.0387

Abstract

Due to the presence of irrelevant features and redundant features in the fine feature set of frequency hopping radio stations, the large amount of calculation and low recognition accuracy are existed in radio stations identification. This paper proposed an individual identification method for frequency hopping radio stations based on CMFS-MIC feature selection. Firstly, it calculated the fine feature sets of each collected signal sample of frequency hopping radio, and then used the associated information entropy to measure the combination effect of the feature subsets, and took into account the association relationship and the redundant relationship of features to sort each feature in descending order. On this basis, the approximate Markov blanket method using the largest information coefficient metric was used to remove redundant and irrelevant features. This process achieved the purpose of optimizing and reducing the dimension of feature subsets. Finally, it designed a voting combination classifier to realize the identification of four frequency-hopping radio signals. Simulation results show that proposed algorithm has higher sorting recognition rate.

Foundation Support

国家自然科学基金资助项目

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.04.0387
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 12
Section: Technology of Network & Communication
Pages: 3811-3814,3818
Serial Number: 1001-3695(2019)12-063-3811-04

Publish History

[2019-12-05] Printed Article

Cite This Article

杨银松, 郭英, 李红光, 等. 基于CMFS-MIC特征选择的跳频电台个体识别方法 [J]. 计算机应用研究, 2019, 36 (12): 3811-3814,3818. (Yang Yinsong, Guo Ying, Li Hongguang, et al. Individual identification method of frequency hopping radio based on CMFS-MIC feature selection [J]. Application Research of Computers, 2019, 36 (12): 3811-3814,3818. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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