Cislunar Periodic Orbit Analysis for Persistent Space Object Detection Capability

2021 ◽  
pp. 1-12
Author(s):  
Jacob K. Vendl ◽  
Marcus J. Holzinger
Keyword(s):  
Periodic Orbit ◽  
Object Detection ◽  
Detection Capability ◽  
Space Object ◽  
Orbit Analysis

scholarly journals Structurally topological algorithm for star recognition and near-Earth space’ object detection

2020 ◽  
Vol 44 (3) ◽  
pp. 375-384
Author(s):  
I.G. Zhurkin ◽  
L.N. Chaban ◽  
P.Yu. Orlov
Keyword(s):  
Object Detection ◽  
Atmospheric Effects ◽  
Space Object ◽  
Topological Approach ◽  
Earth Space ◽  
Near Earth Space ◽  
Celestial Navigation ◽  
Set Of Points ◽  
Star Images ◽  
Star Field

When solving a variety of celestial navigation tasks there is a problem of determining parameters of spacecraft motion and onboard primary payload orientation based on the coordinates of registered star images. Furthermore, unwanted objects, like active satellites, natural and artificial space debris, that reduce the probability of correct recognition may get into the field of view of a satellite sensor. This prompts the necessity to filter out such interference from the star field images. However, if the objects under recognition are bodies located in near-Earth space, in this case, the star images themselves will act as interferences. In addition, since the detection and cataloging of these objects from the Earth’s surface is complicated by their small size, the atmospheric effects, as well as other technical difficulties, it is worthwhile to use the existing equipment onboard spacecrafts to solve this task. The existing recognition algorithms for star groups, as well as their classification, are presented in this paper. Moreover, a structurally topological approach for identifying groups of stars based on the properties of enveloping polygons used in constructing topological star patterns is proposed. Specific features in the construction of topological configurations on the analyzed set of points, as well as the principles of dynamic space object detection within their limits are described. Results of the numerical experiments performed using the developed algorithm on the star field maps and model scenes are presented.

Model identification by periodic-orbit analysis for NMR-laser chaos

1991 ◽  
Vol 67 (17) ◽  
pp. 2244-2247 ◽  
Author(s):  
L. Flepp ◽  
R. Holzner ◽  
E. Brun ◽  
M. Finardi ◽  
R. Badii
Keyword(s):  
Periodic Orbit ◽  
Model Identification ◽  
Orbit Analysis

Periodic orbit analysis for the delayed Filippov system

2018 ◽  
Vol 146 (11) ◽  
pp. 4667-4682 ◽  
Author(s):  
Zuowei Cai ◽  
Jianhua Huang ◽  
Lihong Huang
Keyword(s):  
Periodic Orbit ◽  
Orbit Analysis

Periodic orbit analysis of the Lorenz attractor

1994 ◽  
Vol 93 (2) ◽  
pp. 259-266 ◽  
Author(s):  
Bruno Eckhardt ◽  
Gerolf Ott
Keyword(s):  
Periodic Orbit ◽  
Lorenz Attractor ◽  
Orbit Analysis
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