Satellite scheduling considering maximum observation coverage time and minimum orbital transfer fuel cost

Zhu, Kaijian; Li, Junfeng; Baoyin, Hexi

doi:10.1016/j.actaastro.2009.05.029

Cited by 67 publications

(35 citation statements)

References 13 publications

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“…Based on revisit time and areas of target locations, processing times of jobs can be calculated by d i = 9, 27, and 29 s for v i ∈ V 1 , V 2 , and V 3 , respectively, assuming the orbits to be circular. 3 and v i ∈ V 1 , respectively. As such, f min max = 30 MHz and p min max = 192.65 W accordingly.…”

Section: A Singapore Sar Applicationmentioning

confidence: 99%

“…As compared to a single satellite, a nanosat swarm has many advantages, including synchronous measurements over a dispersed area and improvements in performance and survivability, which have been widely proposed for synthetic aperture radar (SAR) applications, such as Earth resource exploration, battlefield reconnaissance, natural disaster surveillance, and so on [3,4]. In addition, smaller and lighter nanosats might be launched in multiples, requiring possibly cheaper dedicated launch vehicles [5].…”

Section: Introductionmentioning

confidence: 99%

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Nano-satellite swarm for SAR applications: design and robust scheduling

Pang

Kumar

Goh

et al. 2015

IEEE Trans. Aerosp. Electron. Syst.

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In this paper, the design and robust scheduling of a nano-satellite (nanosat) swarm is presented for synthetic aperture radar (SAR) applications. Based on the power budget and bandwidth limit of nanosats, the nanosats' form factor and swarm size are chosen to ensure that requirements on ground resolution and signal-to-noise ratio are met. Next, an energy-efficient and robust scheduling considering stochastic failures is proposed using scenario optimization with convexification. The effectiveness of our proposed scheduling approach is verified with mathematical rigor as well as extensive simulation results on a realistic SAR application using strip and spot modes.

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Section: A Singapore Sar Applicationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Nano-satellite swarm for SAR applications: design and robust scheduling

Pang

Kumar

Goh

et al. 2015

IEEE Trans. Aerosp. Electron. Syst.

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“…1 Recently, taking photographs in emergency by imaging satellites has become a critical measure to get the first-hand information. 2 For example, when an earthquake occurs, the images of stricken areas can be obtained by imaging satellites. Importantly, the images are expected to be acquired within a few hours or even in dozens of minutes for timely conducting damage assessment and planning rescue policies.…”

Section: Introductionmentioning

confidence: 99%

Emergency Scheduling of Multiple Imaging Satellites with Dynamic Merging

Wang¹,

Zhu²,

Qiu³

2012

SpaceOps 2012 Conference

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Scheduling plays a significant role in improving observation effectiveness of imaging satellites. Although extensive satellite scheduling algorithms have been proposed, none of them focuses on emergency scheduling in dynamic environment. In this paper, a novel dynamic emergency scheduling model of multiple imaging satellites is established. To improve user's satisfaction ratio and resource utilization, we propose a novel task dynamic merging strategy, developing an alternative task set establishment (ATSE) algorithm used for dynamic merging. Besides, a novel dynamic emergency scheduling algorithm called DM-DES is presented, which considers the dynamic merging. To demonstrate the superiority of our DM-DES, we conduct extensive experiments by simulations to compare DM-DES with an existing algorithm--RBHA as well as a baseline algorithm--DES. The experimental results indicate that DM-DES improves the scheduling quality of others and is suitable for emergency scheduling.

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“…Baolin et al [9] described a new satellite mission scheduling algorithm based on constraint satisfaction problem (CSP). Zhu et al [10] considered the problems of satellite scheduling for realizing optimal disaster rescue and proposed a hybrid algorithm to solve this multiple objects optimization problem. Wang et al [11] considered the characteristic of EOS in dynamic scheduling and proposed a rule-based heuristic algorithm to solve this problem.…”

Section: Introductionmentioning

confidence: 99%

A Dynamic Scheduling Method of Earth‐Observing Satellites by Employing Rolling Horizon Strategy

Qiu

Liu³

et al. 2013

The Scientific World Journal

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Focused on the dynamic scheduling problem for earth-observing satellites (EOS), an integer programming model is constructed after analyzing the main constraints. The rolling horizon (RH) strategy is proposed according to the independent arriving time and deadline of the imaging tasks. This strategy is designed with a mixed triggering mode composed of periodical triggering and event triggering, and the scheduling horizon is decomposed into a series of static scheduling intervals. By optimizing the scheduling schemes in each interval, the dynamic scheduling of EOS is realized. We also propose three dynamic scheduling algorithms by the combination of the RH strategy and various heuristic algorithms. Finally, the scheduling results of different algorithms are compared and the presented methods in this paper are demonstrated to be efficient by extensive experiments.

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Satellite scheduling considering maximum observation coverage time and minimum orbital transfer fuel cost

Cited by 67 publications

References 13 publications

Nano-satellite swarm for SAR applications: design and robust scheduling

Nano-satellite swarm for SAR applications: design and robust scheduling

Emergency Scheduling of Multiple Imaging Satellites with Dynamic Merging

A Dynamic Scheduling Method of Earth‐Observing Satellites by Employing Rolling Horizon Strategy

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