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FU Qiang,WANG Gang,XIAO Jin-ke,GUO Xiang-ke,WEI Gang
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Abstract:
To keep a continuous and steady tracking of aerospace high-speed vehicles, a cooperative tracking framework based on the multi-agent system (MAS) for highspeed aerospace vehicles is analyzed, then a multi-sensor cooperative dispatch optimization model is established. In addition, a self-adaptive clonal genetic algorithm (SCGA) is used to conduct the cooperative tracking. Simulation results validate the rationality superiority of the model and the algorithm proposed, which lays a solid technique foundation for designing the detection and early-warning system of high-speed aerospace vehicles.
FU Qiang,WANG Gang,XIAO Jin-ke,GUO Xiang-ke,WEI Gang. Research on multi-sensor cooperative tracking of high-speed aerospace vehicle[J]. Systems Engineering and Electronics, doi: 10.3969/j.issn.1001-506X.2014.10.18.
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URL: https://www.sys-ele.com/EN/10.3969/j.issn.1001-506X.2014.10.18
https://www.sys-ele.com/EN/Y2014/V36/I10/2007