Impact of Sensor Model Fidelity and Scheduling on Navigation Performance
Landing navigation filters are commonly required to process data both related to and unrelated to the surface on which the landing is to take place. When considering data related to the surface, model fidelity often imposes daunting challenges for real-time navigation due to ever-increasing fidelity of surface models. It is, however, not clear what model fidelity is required to achieve a successful landing nor what the impacts of reduced fidelity modeling are. In addition, the sequencing of sensor data can lead to more or less robustness in the operation of a navigation filter. This paper investigates the impacts of sensor model fidelity and sensor scheduling on the performance of a descent-to-landing navigation filter that has a modular capability for data processing. Different fidelity models for modeling altimeter measurements are considered, and various sensing schedules and model fidelity configurations are defined. These configurations are compared to assess any salient characteristics and performance differences obtained in descent-to-landing navigation.
K. M. Kratzer et al., "Impact of Sensor Model Fidelity and Scheduling on Navigation Performance," Proceedings of the AIAA Guidance, Navigation, and Control Conference (2018, Kissimmee, FL), no. 210039, American Institute of Aeronautics and Astronautics (AIAA), Jan 2018.
The definitive version is available at https://doi.org/10.2514/6.2018-1334
AIAA Guidance, Navigation, and Control Conference, 2018 (2018: Jan. 8-12, Kissimmee, FL)
Mechanical and Aerospace Engineering
Keywords and Phrases
Aviation; Data handling; Landing; Scheduling, Altimeter measurements; Fidelity modeling; Modeling fidelity; Navigation filters; Navigation performance; Real-time navigation; Sensor scheduling; Surface models, Navigation
International Standard Book Number (ISBN)
Article - Conference proceedings
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