Adaptive correlative-extreme algorithm of spacecraft navigation on geophysical fields using differential taylor transformations

2001 ◽  
Vol 7 (4) ◽  
pp. 141-146
Author(s):  
D.V. Piaskovs'kyi ◽  
◽  
S.V. Vodop'ian ◽  
I.D. Varlamov ◽  
◽  
...  
Keyword(s):  
Geophysical Fields ◽  
Spacecraft Navigation

Performance Analysis of Lunar Spacecraft Navigation Based on Inter-Satellite Link Annular Beam Antenna

2016 ◽  
Vol E99.B (4) ◽  
pp. 951-959
Author(s):  
Lei CHEN ◽  
Ke ZHANG ◽  
Yangbo HUANG ◽  
Zhe LIU ◽  
Gang OU
Keyword(s):  
Performance Analysis ◽  
Satellite Link ◽  
Annular Beam ◽  
Spacecraft Navigation

Two-dimensional visualization of three-dimensional geophysical fields in problems of geoinformational modeling

2019 ◽  
Vol 63 (6) ◽  
pp. 718-728
Author(s):  
Boyarchuk M.A. ◽  
◽  
Zhurkin I.G. ◽  
Uchaev D.V. ◽  
Uchaev Dm.V. ◽  
...  
Keyword(s):  
Three Dimensional ◽  
Two Dimensional ◽  
Geophysical Fields

scholarly journals Autonomy for Space Robots: Past, Present, and Future

2021 ◽  
Author(s):  
Issa A.D. Nesnas ◽  
Lorraine M. Fesq ◽  
Richard A. Volpe
Keyword(s):  
Space Exploration ◽  
System Level ◽  
Physical Interaction ◽  
Data Handling ◽  
Proximity Operations ◽  
The Past ◽  
Surface Mobility ◽  
Spacecraft Navigation ◽  
New Frontier ◽  
Near Earth Objects

Abstract Purpose of Review The purpose of this review is to highlight space autonomy advances across mission phases, capture the anticipated need for autonomy and associated rationale, assess state of the practice, and share thoughts for future advancements that could lead to a new frontier in space exploration. Recent Findings Over the past two decades, several autonomous functions and system-level capabilities have been demonstrated and used in spacecraft operations. In spite of that, spacecraft today remain largely reliant on ground in the loop to assess situations and plan next actions, using pre-scripted command sequences. Advances have been made across mission phases including spacecraft navigation; proximity operations; entry, descent, and landing; surface mobility and manipulation; and data handling. But past successful practices may not be sustainable for future exploration. The ability of ground operators to predict the outcome of their plans seriously diminishes when platforms physically interact with planetary bodies, as has been experienced in two decades of Mars surface operations. This results from uncertainties that arise due to limited knowledge, complex physical interaction with the environment, and limitations of associated models. Summary Robotics and autonomy are synergistic, wherein robotics provides flexibility, autonomy exercises it to more effectively and robustly explore unknown worlds. Such capabilities can be substantially advanced by leveraging the rapid growth in SmallSats, the relative accessibility of near-Earth objects, and the recent increase in launch opportunities.

Guessing the missing half of a geophysical field with blunt extension of discrete Universal Multifractal cascades

2021 ◽  
Author(s):  
Auguste Gires ◽  
Ioulia Tchiguirinskaia ◽  
Daniel Schertzer
Keyword(s):  
Time Series ◽  
Financial Support ◽  
Space Time ◽  
Rainfall Data ◽  
Second Step ◽  
Geophysical Field ◽  
Geophysical Fields ◽  
Wide Range ◽  
The Common ◽  
Partial Financial Support

<p>Universal Multifractals have been widely used to characterize and simulate geophysical fields extremely variable over a wide range of scales such as rainfall. Despite strong limitations, notably its non-stationnarity, discrete cascades are often used to simulate such fields. Recently, blunt cascades have been introduced in 1D and 2D to cope with this issue while remaining in the simple framework of discrete cascades. It basically consists in geometrically interpolating over moving windows the multiplicative increments at each cascade steps.</p><p> </p><p>In this paper, we first suggest an extension of this blunt cascades to space-time processes. Multifractal expected behaviour is theoretically established and numerically confirmed. In a second step, a methodology to address the common issue of guessing the missing half of a field is developed using this framework. It basically consists in reconstructing the increments of the known portion of the field, and then stochastically simulating the ones for the new portion, while ensuring the blunting the increments on the portion joining the two parts of the fields. The approach is tested with time series, maps and in a space-time framework. Initial tests with rainfall data are presented.</p><p> </p><p>Authors acknowledge the RW-Turb project (supported by the French National Research Agency - ANR-19-CE05-0022), for partial financial support.</p>

On Optimal Approximation of Geophysical Fields

2021 ◽  
Vol 14 (1) ◽  
pp. 13-29
Author(s):  
I. V. Boikov ◽  
V. A. Ryazantsev
Keyword(s):  
Optimal Approximation ◽  
Geophysical Fields
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