基于三级多源信息融合结构的SINS性能测试综合评估算法
发布时间:2018-08-15 12:02
【摘要】:针对SINS性能测试存在指标多、不确定性等问题,提出了一种基于三级多源信息融合结构的SINS性能测试综合评估算法。给出了包括精度测试、稳定性测试和可靠性测试等三大性能测试指标和16个性能测试底层子指标构成的SINS性能测试指标体系,并构建SINS测试评估结构框架。利用多个专家对底层性能测试子指标进行评估给出相应性能子指标的模糊评价,并构造基本置信指派组成多个证据;利用基于局部冲突分配的组合规则进行三级证据融合,得到性能测试指标的综合评价结果。仿真实验结果表明:与传统的证据理论融合方法相比,该算法可以较为全面地很好地评估SINS性能,而且结果更为合理。
[Abstract]:In order to solve the problems of multiple indexes and uncertainty in SINS performance testing, a comprehensive evaluation algorithm for SINS performance testing based on three-level multi-source information fusion structure is proposed. The performance test index system of SINS including precision test, stability test and reliability test is presented, and the SINS performance evaluation framework is constructed. The fuzzy evaluation of the underlying performance sub-index is given by using multiple experts, and the basic confidence assignment is constructed to form multiple evidences, and the combination rule based on local conflict assignment is used for the three-level evidence fusion. The comprehensive evaluation results of the performance test index are obtained. The simulation results show that compared with the traditional evidence theory fusion method, the proposed algorithm can evaluate the performance of SINS well, and the results are more reasonable.
【作者单位】: 西北工业大学自动化学院;河南大学计算机与信息工程学院;
【基金】:航空科学基金项目(20100853010)
【分类号】:TN966
[Abstract]:In order to solve the problems of multiple indexes and uncertainty in SINS performance testing, a comprehensive evaluation algorithm for SINS performance testing based on three-level multi-source information fusion structure is proposed. The performance test index system of SINS including precision test, stability test and reliability test is presented, and the SINS performance evaluation framework is constructed. The fuzzy evaluation of the underlying performance sub-index is given by using multiple experts, and the basic confidence assignment is constructed to form multiple evidences, and the combination rule based on local conflict assignment is used for the three-level evidence fusion. The comprehensive evaluation results of the performance test index are obtained. The simulation results show that compared with the traditional evidence theory fusion method, the proposed algorithm can evaluate the performance of SINS well, and the results are more reasonable.
【作者单位】: 西北工业大学自动化学院;河南大学计算机与信息工程学院;
【基金】:航空科学基金项目(20100853010)
【分类号】:TN966
【参考文献】
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