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Verfasst von:Luo, Xin [VerfasserIn]   i
 Chen, Xiaoyu [VerfasserIn]   i
Titel:A novel technique to compute the revisit time of satellites and its application in remote sensing satellite optimization design
Verf.angabe:Xin Luo, Maocai Wang, Guangming Dai, and Xiaoyu Chen
Fussnoten:Published 31 January 2017 ; Gesehen am 02.07.2018
Titel Quelle:Enthalten in: International journal of aerospace engineering
Jahr Quelle:2017
Band/Heft Quelle:(2017) Article ID 6469439, 9 Seiten
ISSN Quelle:1687-5974
Abstract:This paper proposes a novel technique to compute the revisit time of satellites within repeat ground tracks. Different from the repeat cycle which only depends on the orbit, the revisit time is relevant to the payload of the satellite as well, such as the tilt angle and swath width. The technique is discussed using the Bezout equation and takes the gravitational second zonal harmonic into consideration. The concept of subcycles is defined in a general way and the general concept of “small” offset is replaced by a multiple of the minimum interval on equator when analyzing the revisit time of remote sensing satellites. This technique requires simple calculations with high efficiency. At last, this technique is used to design remote sensing satellites with desired revisit time and minimum tilt angle. When the side-lap, the range of altitude, and desired revisit time are determined, a lot of orbit solutions which meet the mission requirements will be obtained fast. Among all solutions, designers can quickly find out the optimal orbits. Through various case studies, the calculation technique is successfully demonstrated.
DOI:doi:10.1155/2017/6469439
URL:Bitte beachten Sie: Dies ist ein Bibliographieeintrag. Ein Volltextzugriff für Mitglieder der Universität besteht hier nur, falls für die entsprechende Zeitschrift/den entsprechenden Sammelband ein Abonnement besteht oder es sich um einen OpenAccess-Titel handelt.

Kostenfrei: Verlag: http://dx.doi.org/10.1155/2017/6469439
 Kostenfrei: Verlag: https://www.hindawi.com/journals/ijae/2017/6469439/
 DOI: https://doi.org/10.1155/2017/6469439
Datenträger:Online-Ressource
Sprache:eng
K10plus-PPN:1577002814
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