Electromagnetic situation generation algorithm based on information geometry

Zhe Song (), Yi Zhang (), Hongli Lv (), Peilin Chen () and Chengkai Tang ()
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Zhe Song: The 54th Research Institute of China Electronics Technology Group Corporation
Yi Zhang: Northwestern Polytechnical University
Hongli Lv: The Shaanxi Key Laboratory of Integrated and Intelligent Navigation
Peilin Chen: The 54th Research Institute of China Electronics Technology Group Corporation
Chengkai Tang: Northwestern Polytechnical University

Telecommunication Systems: Modelling, Analysis, Design and Management, 2021, vol. 77, issue 1, No 10, 187 pages

Abstract: Abstract In complex electromagnetic environment, the different location of interference sources will affect their normal function. In order to seek and locate the source of the interference, it is necessary to generate the electromagnetic situation that can be clearly shown and easily evaluated. The existing methods have the problems of slow calculation speed, low accuracy and incapably working under all kinds of electromagnetic information. This paper proposes an electromagnetic situation generation algorithm for distributed sensor network based on the information geometry theory, which can greatly improve the function by only adding a small amount of calculation cost. The Gaussian mixture model (GMM) is used to set up the statistical model of signals from each sensor. By using an information distance derived from the Kullback–Leibler divergence based on GMM to evaluate the changes of the situation, the fluctuation of electromagnetic situation can be better revealed. In order to accelerate the situation generation, the method based on the parameters transfer of adjacent nodes is proposed. The simulation results show that the electromagnetic situation generated by the method proposed in this paper is more sensitive to the interference and its position, compared with the traditional method. The experiment is carried out in a microwave anechoic chamber to test the proposed method and the results show that the method proposed in this study has fast response ability and high accuracy to the change of electromagnetic situation.

Keywords: Information geometry; Electromagnetic situation; Statistical manifold; Gaussian mixture model (search for similar items in EconPapers)
Date: 2021
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DOI: 10.1007/s11235-020-00731-4

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