Abstract: 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 adaptation, and are available to diagnose whether the error models of radar data are correct.

Key words: Pulse radar, Hypothesis test, Model diagnosis, Outliers tolerance, NavigationTracking