Page 1 of 8 The Pointing Error Analysis Tool is a set of Matlab functions that are used to evaluate the Standard Pointing Error Metrics from timedomain and frequencydomain data. The pointing error metrics are called the accuracy metric, displacement metric, jitter metric, stability metric, and the windowed stability metric. These metrics are based on unambiguous mathematical models involving the point spread function of optical instruments, and therefore relate the pointing error directly to instrument performance. The meansquare pointing error is expressed by exactly equivalent equations in the time domain and in the frequency domain.
The Pointing Error Analysis Tool is a set of Matlab functions that are used to evaluate the Standard Pointing Error Metrics from timedomain and frequencydomain data. Other functions aid in evaluating the contribution of sensor noise on the pointing error metrics.
The Pointing Error Analysis Tool has the following features and benefits
 Quickly analyze timedomain, frequencydomain, and stochastic (random) pointing error.
 Determine the relative contribution of various disturbance sources.
 Determine which are the most offending disturbances in a pointing system.
 Evaluate the pointing error metrics for a variety of window times without having to recompute everything.
