A heuristic method for sensor scheduling in infrared LEO constellation

Author

Deng, Yong ; Sun, Fuchun ; Zhang, Zhongzhao

Author_Institution

Commun. Res. Center, Harbin Inst. of Technol., Harbin, China

Volume

7

fYear

2010

fDate

10-12 Aug. 2010

Firstpage

3692

Lastpage

3696

Abstract

Sensor scheduling problem in infrared LEO constellation by bearing-only location is studied to ensure its continuous tracking and parallel processing multitask. Firstly, the problem is defined in detail, and a mathematical model is presented. Secondly, an adaptive multitask programming on probabilistic selection algorithm(AMPPSA) is proposed, which utilizes trend catching, random selection and clone variation to keep from sub optimizing and applies heuristic rules to avoid blind searching. Finally, simulations show that the algorithm fits to sensor management of multi-objective optimization in infrared LEO constellation.

Keywords

artificial satellites; heuristic programming; multiprogramming; optical tracking; optimisation; parallel processing; scheduling; sensors; target tracking; adaptive multitask programming; bearing only location; clone variation; continuous tracking; heuristic method; infrared LEO constellation; mathematical model; multiobjective optimization; parallel processing; probabilistic selection algorithm; sensor management; sensor scheduling; Algorithm design and analysis; Complexity theory; Low earth orbit satellites; Optimal scheduling; Satellite broadcasting; Heuristic Method; Multi-objective optimization; Multitask tracking; Sensor scheduling; component; infrared LEO constellation;

fLanguage

English

Publisher

ieee

Conference_Titel

Natural Computation (ICNC), 2010 Sixth International Conference on

Conference_Location

Yantai, Shandong

Print_ISBN

978-1-4244-5958-2

Type

conf

DOI

10.1109/ICNC.2010.5583551

Filename

5583551