Calculating covariance from CRA#72
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leoca42
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Apr 29, 2026
| /// The output of a DistanceAndCovarianceDeterminationAlgorithm. Outputs a 3D | ||
| /// Vector and its associated covariance matrix that represents the satellite's | ||
| /// position. | ||
| struct DistanceAndCovariance { |
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Rename this struct to PositionAndCovariance?
leoca42
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May 6, 2026
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| decimal residualVariance = 4.0 * point.transpose() * transformedConicLocusMatrix * | ||
| pointCovariance * transformedConicLocusMatrix * point; | ||
| Mat3 jacobian = 2.0 * vecToEarth.transpose() * |
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If it is ready, this should be pushed into review |
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This hasn't been pushed for review seeing as there are no tests written yet, but we're not fully sure how this system would be tested or if this system should have unit testing. |
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This adds a new function stage (
SpheroidDistanceAndCovarianceDeterminationAlgorithm) that wraps around theSpheroidDistanceDeterminationAlgorithmto additionally calculate the covariance of the estimated position. Importantly this is not aDistanceDeterminationAlgorithm, instead returning aDistanceAndCovariancestruct which contains both a estimate and it's covariance. This is a break from the pipeline model but is the best compromise for right now.