Deep Space Network Radio Science and Ground‐Based Planetary Radar in the Next Decade
Ryan S. Park, J. Riedel, Nereida Rodriguez-Alvarez, M. Brozović, L. A. M. Benner, Panagiotis Vergados, Dustin Buccino, Christopher S. Jacobs, L. Locke, S. W. Asmar, Rebecca Castaño, T. Joseph W. Lazio, J. S. Jao, Christine Lee
- 发表年份
- 2025
- 引用次数
- 3
- 访问权限
- 开放获取
摘要
Abstract The Deep Space Network (DSN) has been a core operational element of NASA's crewed and robotic exploration of the Solar System since the early 1960s. The primary role of the DSN has been to acquire telemetry and navigation data, but over the years, its radiometric and radar capabilities have expanded to form a system for obtaining unique scientific data from planetary bodies. The capabilities of the DSN have advanced alongside the sophistication of the missions it serves, enhancing navigation and data‐handling capacities for those missions and improving the ability to obtain significant new space science. These advancements will continue into the next decade with breakthroughs in engineering performance, measurement capabilities, and the integration of cutting‐edge technologies such as quantum electronics, computing, and AI‐based analysis. This paper presents a survey of the most active areas of current research that are likely to drive advances in the capabilities of DSN functions and facilities.
关键词
相关论文
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Fractional Differential Equations
Igor Podlubný
2025
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991