@inproceedings{78601f6487264996b39228d8b18850de,
title = "Configuration Optimization for Dynamic Pressure-Assisted Measurement Based Mars Atmosphere Entry Navigation",
abstract = "Autonomous entry navigation is of great importance for Mars precision landing. When designing a navigation system for Mars atmosphere entry, its observability should be given sufficient attention. Because the conventional measurements only using inertial measurement unit (IMU) cannot guarantee the full-state observability, dynamic pressure measurement assisted navigation scheme is introduced in this paper to make the navigation system more observable. Then, the observability of the introduced dynamic pressure measurement assisted navigation is firstly analyzed in detail with respect to axial direction of single dynamic pressure sensor. What is more, to further improve the observability of the navigation system, the configuration of triple dynamic pressure sensors is optimized considering different angle combinations of the axial direction of different dynamic pressure sensors and the direction of the velocity of the vehicle (incidence angle). The proposed configuration optimization method is demonstrated and validated through numerical simulation, whose results can demonstrate that the full observability of the navigation system can be guaranteed when this angle configuration is used.",
keywords = "Dynamic pressure, Mars atmosphere entry, Navigation system, Observability",
author = "Pengzhi Li and Jiateng Long and Xini Niu and Zhengjia Fan",
note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.; International Conference on Guidance, Navigation and Control, ICGNC 2024 ; Conference date: 09-08-2024 Through 11-08-2024",
year = "2025",
doi = "10.1007/978-981-96-2216-0_41",
language = "English",
isbn = "9789819622153",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "422--431",
editor = "Liang Yan and Haibin Duan and Yimin Deng",
booktitle = "Advances in Guidance, Navigation and Control - Proceedings of 2024 International Conference on Guidance, Navigation and Control Volume 5",
address = "Germany",
}