BRIDGING DYNAMICAL MODELING EFFORT AND SENSOR ACCURACY IN RELATIVE SPACECRAFT NAVIGATION
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In current practice, the dynamical model in a spacecraft navigation algorithm is often set ad hoc without explicit regard for the level of measurement, guidance, or control errors expected. In this paper, we develop methods to quickly survey the trade space between navigation system parameters and dynamical model fidelity. We focus our efforts on forces that have precise deterministic physical models, e.g., the Earth's gravity, such that modeling errors may be regarded as biases. Our approach simplifies the workflow of designing navigation systems by mitigating the need to conduct a large-scale non-linear numerical validation of system performance.