These inputs allow the user to apply a measurement time tag bias to the measurements for which this satellite is a space-based tracker, and optionally simulate and estimate that time tag bias. The same time tag bias will apply to all measurements from this one satellite tracker with these caveats:

- If a time tag bias is applied it will apply to all measurement types except EPH POS and EPH VEL measurement types.
- The time bias will not be estimated for EPH POS and EPH VEL measurement types.
- Estimation applies to filter, smoother, and VLS. Currently, cannot estimate this bias with Least Squares.

Measurement Time Bias Options | |
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Control | Description |

Estimate |
If set to true the time tag bias will be estimated using the stochastic model defined by the "TimeBiasModel" parameter. |

TransmitFreq |
The stochastic sequence to model and estimate the time bias. Note that a non-zero "Constant" value will be applied even if the Estimate flag is false. Choices for the TimeBiasModel include: - GaussMarkov = Bias will be modeled as a scalar exponential Gauss Markov sequence.
- RandomWalk = Bias will be modeled using a Wiener (Brownian motion) sequence.
- Vasicek = Bias will be modeled using a Vasicek stochastic sequence. This is a two-parameter model that solves for both a short-term and long-term bias.
Reference the Stochastic Models section for the description and inputs associated with each model. |

ODTK 6.5