Planning and scheduling algorithms for the COSMO-SkyMed constellation

Bianchessi, Nicola; Righini, Giovanni

doi:10.1016/j.ast.2008.01.001

Cited by 117 publications

(51 citation statements)

References 7 publications

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“…A User Request (in the case of the first level of SAR standard products) can be satisfied in 72 hours for the system working in routine mode, 36 hours for the crisis mode and 18 hours for the very urgent mode. The management of a constellation rather than a single satellite, as well as the high number of degrees of freedom in acquisition management, pose new issues in operational management (Bianchessi and Righini, 2008). The commercial distribution rights for Cosmo -SkyMed images have been recently granted to e-GEOS (http://www.e-geos.it/), a new entity owned 80% by the private firm Telespazio and 20% by ASI.…”

Section: Cosmo -Skymed Constallationmentioning

confidence: 99%

Observing Marine Pollution with Synthetic Aperture Radar

Trivero¹,

Biamino²

2010

Geoscience and Remote Sensing New Achievements

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Section: Cosmo -Skymed Constallationmentioning

confidence: 99%

Observing Marine Pollution with Synthetic Aperture Radar

Trivero¹,

Biamino²

2010

Geoscience and Remote Sensing New Achievements

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“…Most of the literature on satellite mission planning is divided into two categories: optical satellites [1][2][3][4] and Synthetic Aperture Radar (SAR) satellites [5][6][7][8][9][10][11][12]. The satellite image acquisition and image downlink are two main scheduling problems in satellite mission planning.…”

Section: Introductionmentioning

confidence: 99%

“…Downlink also can be classified into two ways: (1) the observed images are transmitted to the ground station in real time when the observation target and the ground station are simultaneously visible to the satellite; (2) first store observed images in the onboard memory and then transmit data to the ground station when the satellite is passing. Discrete Dynamics in Nature and Society SIDSP and its variations have been studied by many authors, mainly divided into single-satellite problems [10][11][12] and multisatellite problems [1,3,[5][6][7][8][9]. Single-satellite problem deals with the resource contention for satellite internal requests, while multisatellite problem should also take the resource contention for requests from different satellites into consideration.…”

Section: Introductionmentioning

confidence: 99%

A Hybrid Genetic Algorithm for Satellite Image Downlink Scheduling Problem

Song

Yao

Chen

et al. 2018

Discrete Dynamics in Nature and Society

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The satellite image downlink scheduling problem (SIDSP) is included in satellite mission planning as an important part. A customer demand is finished only if the corresponding images are eventually downloaded. Due to the growing customer demands and the limited ground resources, SIDSP is an oversubscribed scheduling problem. In this paper, we investigate SIDSP with the case study of China's commercial remote sensing satellite constellation (SuperView-1) and exploit the serial scheduling scheme for solving it. The idea is first determining a permutation of the downlink requests and then producing a schedule from the given ordered requests. A schedule generation algorithm (SGA) is proposed to assign the downlink time window for each scheduled request according to a given request permutation. A hybrid genetic algorithm (HGA) combined with neighborhood search is proposed to optimize the downlink request permutation with the purpose of maximizing the utility function. Experimental results on six groups of instances with different density demonstrate the effectiveness of the proposed approach.

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“…The second condition is that the antenna in the satellite should be oriented toward the ground station when the satellite enters the visibility window. Commands for the proper orientation of the antenna are prepared before the satellite enters the visibility window [1,2].…”

Section: Introductionmentioning

confidence: 99%

A Geometric Compression Method Using Dominant Points for Transmission to LEO Satellites

Ko¹,

Ahn²,

Wang³

et al. 2016

International Journal of Aeronautical and Space Sciences

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In the operation of a low earth orbit satellite, a series of antenna commands are transmitted from a ground station to the satellite within a visibility window (i.e., the time period for which an antenna of the satellite is visible from the station) and executed to control the antenna. The window is a limited resource where all data transmission is carried out. Therefore, minimizing the transmission time for the antenna commands by reducing the data size is necessary in order to provide more time for the transmission of other data. In this paper, we propose a geometric compression method based on B-spline curve fitting using dominant points in order to compactly represent the antenna commands. We transform the problem of command size reduction into a geometric problem that is relatively easier to deal with. The command data are interpreted as points in a 2D space. The geometric properties of the data distribution are considered to determine the optimal parameters for a curve approximating the data with sufficient accuracy. Experimental results demonstrate that the proposed method is superior to conventional methods currently used in practice.

show abstract

Planning and scheduling algorithms for the COSMO-SkyMed constellation

Cited by 117 publications

References 7 publications

Observing Marine Pollution with Synthetic Aperture Radar

Observing Marine Pollution with Synthetic Aperture Radar

A Hybrid Genetic Algorithm for Satellite Image Downlink Scheduling Problem

A Geometric Compression Method Using Dominant Points for Transmission to LEO Satellites

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