基于信息熵的遥测数据质量维度量化方法

为解决面对遥测数据质量评估依赖专家知识定性分析，人工参与存在主观随意性强、多测站短时间提供 处理方案等问题，提出一种基于信息熵的遥测数据质量维度量化方法。在多数据源条件下，通过试验信息构造评估 参照标准，利用信息熵指标对数据评价的准确性和完整性维度进行度量，并以某次飞行器的模拟飞行试验数据进行 测试分析。测试结果表明：该方法不仅能对遥测数据的准确性和完整性维度给出准确的评估值，而且具有很高的计 算效率，易于实现。

Quantization Method of Telemetry Data Quality Dimension Based on Information Entropy

To resolve the problem of the quantization assessment of telemetry data relying on qualitative analysis of expert knowledge, the highly arbitrary artificial participation in subjective assessment, providing solutions in a short time in multi-station environment, this paper proposes a method of telemetry data quality dimensions within context on the basis of information entropy. In multiple-source environment, the method constructs and evaluates the reference standard by test information, measures the accuracy and completeness of data by the information entropy index, and the simulation flight test data of the certain aircraft are used for test analysis. The simulation test shows that the method of the automatic quantization assessment not only evaluates the accuracy and completeness dimension of telemetry data accurately, but also has good adaptability and easy to implement.