宇航计测技术 ›› 2021, Vol. 41 ›› Issue (3): 57-63.doi: 10.12060/j.issn.1000-7202.2021.03.10

• 精密测试技术 • 上一篇    下一篇

基于AHP+FCE的GNSS接收机综合性能评价算法研究

朱江淼1；董晓飞1；杨阳2；高秀娜1；黄艳2   

  1. 1.北京工业大学信息学部，北京 100124； 2.北京市计量科学研究院，北京 100029
  • 出版日期:2021-06-25 发布日期:2022-03-07
  • 作者简介:朱江淼（1972.08-）女，副教授，硕士生导师，博士。主要研究方向：数字信号处理、时域测量和数字反卷积应用技术。

Research on Comprehensive Performance Evaluation of GNSS Receiver based on AHP+FCE

ZHU Jiang-miao1；DONG Xiao-fei1；YANG Yang2；GAO Xiu-na1；HUANG Yan2   

  1. 1.Faculty of Information,Beijing University of Technology,Beijing 100124,China;
    2.Beijing Institute of Metrology,Beijing 100029,China
  • Online:2021-06-25 Published:2022-03-07

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摘要： GNSS接收机的性能评价是卫星导航领域的重要研究内容。由于GNSS接收机的测试指标繁多，且关联性较弱，无法准确客观的展现一个接收机的性能优劣，本文研究了对导航型接收机性能的综合评价方法，选择测试指标并建立递阶型测试指标体系，之后综合利用层次分析法（Analytic Hierarchy Process，AHP）和模糊综合法（Fuzzy Comprehensive Evaluation，FCE）设计了主观性弱，归一化程度高的综合评价算法。最后利用文中算法对3台不同型号的导航型接收机进行综合性能评价，其结果与专家的主观评价结果一致，证明本算法可以正确的评价接收机的整体性能。

关键词: GNSS接收机性能评价, 层析分析法, 模糊综合法, 综合评价算法

Abstract: The performance evaluation of GNSS receivers is an important research content in the field of satellite navigation.Due to the numerous test indicators of GNSS receivers and the weak correlation,it is impossible to accurately and objectively show the performance of a receiver.This paper studies the comprehensive evaluation method of GNSS receiver performance.Select test indicators and establish a hierarchical test indicator system,comprehensively use Analytic Hierarchy Process (AHP) and Fuzzy Comprehensive Evaluation (FCE) to design a comprehensive evaluation algorithm with weak subjectivity and high degree of normalization .Finally,the algorithm in this paper is used to evaluate the comprehensive performance of three different types of navigation receivers.The results are consistent with the subjective evaluation results of experts,which proves that the algorithm can correctly evaluate the overall performance of the receiver.

Key words: GNSS receiver performance evaluation, Tomographic analysis method, Fuzzy synthesis method, Comprehensive evaluation algorithm

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