空间飞行器导航定位的精度及可靠性很大程度上取决于雷达误差修正模型准确与否。以脉冲雷达为研究对象,采用统计假设检验理论,对雷达测量数据有无野值等不同情形,分别建立了误差模型拟合优度F-检验与容错F-检验、模型分量显著性T-检验和容错T-检验算法,并且利用雷达跟踪飞行器的实测数据对算法进行了验证。结果显示,模型拟合优度检验与模型分量显著性检验等系列算法具有良好的容错性和适应性,可用于诊断雷达误差模型是否正确有效。
The precision and reliability of spacecraft navigation mainly relies on the accuracy of error models of the radar system and measurement data. For the pulse radar, a series of new test algorithms were built, including the F-test algorithm and the outliers-tolerant F-test algorithm to test the fittness of the error models with measurement data, and the T-test algorithm and outliers-tolerant T-test algorithm to diagnose the significance of error components. These algorithms were based on the theory of statistical hypothesis test and can be used in two different cases with or without outliers in measurement data respectively. These algorithms were tested with practical measurement data from the pulse radar in tracking a,.spacecraft. The results' show that these algorithms have good outliers-tolerance and the error models of radar data are correct. adaptation, and are available to diagnose whether