Title :
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
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;
Conference_Titel :
Natural Computation (ICNC), 2010 Sixth International Conference on
Conference_Location :
Yantai, Shandong
Print_ISBN :
978-1-4244-5958-2
DOI :
10.1109/ICNC.2010.5583551
