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Pointing Error Analysis Tool

Aerospace Control Systems

Spacecraft GNC Systems Engineering

 
Pointing Error Analysis Tool PDF Print E-mail
Article Index
Pointing Error Analysis Tool
Pointing Error Definitions
Concepts from Optics
Standard Pointing Error Metrics
Computational Techniques for Evaluating the Pointing Error Metrics
Why Not Use the Peak Stability or Other Metric?
Pointing Error Analysis
Further Reading
All Pages

The Pointing Error Analysis Tool is a set of Matlab functions that are used to evaluate the Standard Pointing Error Metrics from time-domain and frequency-domain 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 mean-square 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 time-domain and frequency-domain 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 time-domain, frequency-domain, 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.