• Electronics Optics & Control
  • Vol. 28, Issue 7, 1 (2021)
YAO Zhicheng, LI Yuting, HOU Bo, CHEN Zhikan, and FAN Zhiliang
Author Affiliations
  • [in Chinese]
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    DOI: 10.3969/j.issn.1671-637x.2021.07.001 Cite this Article
    YAO Zhicheng, LI Yuting, HOU Bo, CHEN Zhikan, FAN Zhiliang. Application of Cloud Model in Evaluation of Anti- jamming Performance of GNSS Receivers[J]. Electronics Optics & Control, 2021, 28(7): 1 Copy Citation Text show less

    Abstract

    In view of the problems that there are many influencing factors on anti-jamming performance evaluation of Global Navigation Satellite System (GNSS) receivers and it is difficult for data fusion,a novel anti-jamming performance evaluation method is proposed based on the cloud model.Firstly,the anti-jamming performance evaluation index system is established according to the interference factors in the complex electromagnetic environment.Moreover,the qualitative indexes are further converted into qualitative indexes, which form the basis of cloud model evaluation with other quantitative indexes.Then,the golden section method is used to establish the evaluation level of the receiver performance,and the cloud digital characteristics of the indexes are calculated by using the cloud algorithm and the index weights,through which the intuitive comprehensive evaluation cloud is obtained.Finally,the final evaluation results are acquired by calculating the similarity between the comprehensive evaluation cloud and each standard evaluation cloud in the cloud model,and the anti-jamming performance evaluation is thus completed.The results show that:Compared with evidence theory and fuzzy comprehensive evaluation method,the proposed method can implement accurate and efficient evaluation on anti-jamming performance of multiple receivers,and the results of evaluation level are more comprehensive and intuitive.
    YAO Zhicheng, LI Yuting, HOU Bo, CHEN Zhikan, FAN Zhiliang. Application of Cloud Model in Evaluation of Anti- jamming Performance of GNSS Receivers[J]. Electronics Optics & Control, 2021, 28(7): 1
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