基于灰色关联分析和模糊综合评判的GNSS欺骗干扰效能评估

王月; 郝金明; 刘伟平

doi:10.3969/j.issn.0372-2112.2020.12.010

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基于灰色关联分析和模糊综合评判的GNSS欺骗干扰效能评估

学术论文 | 更新时间：2025-12-08

- 基于灰色关联分析和模糊综合评判的GNSS欺骗干扰效能评估
- GNSS Spoofing Effectiveness Evaluation Based on Grey Relational Analysis and Fuzzy Comprehensive Assessment
- 电子学报 2020年48卷第12期页码：2352-2359
- 作者机构：
  
  战略支援部队信息工程大学地理空间信息学院,河南,郑州,450001
- 作者简介：
- 基金信息：
  
  地理信息工程国家重点实验室开放研究基金 (No.SKLGIE2017-M-2-1）
- DOI：10.3969/j.issn.0372-2112.2020.12.010
  中图分类号： P228.4TN972+.3
- 网络出版：2020-12-25，
  
  纸质出版：2020
- 稿件说明：
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王月, 郝金明, 刘伟平. 基于灰色关联分析和模糊综合评判的GNSS欺骗干扰效能评估[J]. 电子学报, 2020,48(12):2352-2359.

WANG Yue, HAO Jin-ming, LIU Wei-ping. GNSS Spoofing Effectiveness Evaluation Based on Grey Relational Analysis and Fuzzy Comprehensive Assessment[J]. Acta Electronica Sinica, 2020, 48(12): 2352-2359.
王月, 郝金明, 刘伟平. 基于灰色关联分析和模糊综合评判的GNSS欺骗干扰效能评估[J]. 电子学报, 2020,48(12):2352-2359. DOI： 10.3969/j.issn.0372-2112.2020.12.010.

WANG Yue, HAO Jin-ming, LIU Wei-ping. GNSS Spoofing Effectiveness Evaluation Based on Grey Relational Analysis and Fuzzy Comprehensive Assessment[J]. Acta Electronica Sinica, 2020, 48(12): 2352-2359. DOI： 10.3969/j.issn.0372-2112.2020.12.010.

摘要

GNSS（Global Navigation Satellite System）欺骗干扰装备，是导航战重要组成，对其效能的有效评估决定了目标任务的成功.但目前存在影响因素的模糊性和不确定性大、因素间影响关系的传递性弱、评估方法适用性差、评估效率低等难点问题.针对这些问题，本文提出一种基于灰色关联分析和模糊综合评判的评估方法.在指标体系搭建完成的基础上，利用层次分析法确定指标权重，并通过纵向计算灰色关联度，得到最优方案；再通过模糊综合评判，得到最优方案的评估结果；最后通过横向计算灰色关联度，来选取与评估结果关联度高的指标.实验证明，本文提出的方法解决了评估存在的难点问题，达到有效评估的目的.

Abstract

GNSS (Global Navigation Satellite System) spoofing equipment is the important components of "Navigation war". The valid evaluation of its effectiveness determines the success of the target task. However

there are still many difficult issues

such as the great ambiguity and uncertainty of influencing factors

the weak transitivity of influencing relations between factors

the poor applicability of assessment methods and the low evaluation efficiency. To deal with these problems

an evaluation method based on grey relational analysis and fuzzy comprehensive assessment is proposed. Firstly

the optimal scheme is obtained by calculating grey relational degree longitudinally. Secondly

the evaluation results of the optimal scheme are obtained by using fuzzy comprehensive assessment. Finally

the indexes highly correlated with the evaluation results are selected based on calculating gray relational degree horizontally. The test results show that these difficult problems are solved by the method proposed in this paper.

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