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A Comprehensive Evaluation Approach of Navigation Signal Performance Based on Multi-attribute Group Decision Making

机译：基于多属性群决策的导航信号性能综合评估方法

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摘要

In the process of comprehensive performance evaluation of new-structure satellite navigation signals, some problems may be encountered including the wide varieties of performance indicators/attributes, the lack of a clear attribute system, the complex relationships and strong correlations among different attributes, the differences in user preferences of the significances of various attributes, and so on. Based on the comparative analysis of different models and methods for the fuzzy multi-criteria Group Decision Making (GDM) problems, this paper proposes a comprehensive signal performance evaluation approach that integrates multiple methods seamlessly. Firstly, a three-level signal attribute system is established based on Analytic Hierarchy Process (AHP). Next, the attributes at the bottom level are decorrelated and reconstructed by Fuzzy Clustering and Principal Component Analysis (PCA). Then the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) is employed to obtain the Relative Membership Degree (RMD) of each alternative signal option to each attribute unit. Finally, the overall performance of each alternative is calculated using the multi-attribute GDM model. The evaluation of six alternative modulations for GPS L1C signals based on theoretical analysis demonstrates the feasibility and effectiveness of the proposed approach. The approach provides an efficient means for the comprehensive performance evaluation of satellite navigation signals.
机译：在对新结构卫星导航信号进行综合性能评估的过程中，可能会遇到一些问题，包括性能指标/属性种类繁多，缺乏清晰的属性系统，复杂的关系以及不同属性之间的强相关性，差异性。用户偏好中各种属性的意义等等。在对模糊多准则群决策（GDM）问题的不同模型和方法进行比较分析的基础上，提出了一种无缝集成多种方法的综合信号性能评估方法。首先，建立了基于层次分析法的三级信号属性系统。接下来，通过模糊聚类和主成分分析（PCA）对底层属性进行去相关和重构。然后，采用类似于理想解的顺序偏好技术（TOPSIS）来获取每个属性单元的每个替代信号选项的相对隶属度（RMD）。最后，使用多属性GDM模型计算每个替代方案的总体效果。基于理论分析对GPS L1C信号的六个替代调制进行评估，证明了该方法的可行性和有效性。该方法为卫星导航信号的综合性能评估提供了一种有效的手段。

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