摘要
从导弹预警卫星的技术特点出发,通过对传感器调度分析,建立了相应的数学模型。结合遗传算法和模拟退火算法的特点,提出了一种新的解决导弹预警卫星传感器调度问题的遗传模拟退火算法(GASA)。仿真结果表明该算法有效地解决了多目标情况下的传感器实时调度问题,并优于一般的智能算法。
We established mathematic models of the sensor scheduling for missile early satellite based on the technical characteristics of missile early satellite and the analysis to sensor scheduling. According to the respective performance of genetic algorithm and simulated annealing algorithm, we proposed a new algorithm for sensor scheduling of early warning satellite, i.e., Genetic and Simulated annealing Algorithm （GASA）. Simulation result shows that the algorithm can effectively deal with real-time sensor scheduling under the circumstance of multiple objects, and it is better than other intelligent algorithms.
出处
《电光与控制》
北大核心
2006年第4期71-74,共4页
Electronics Optics & Control
基金
空工大学术(联合)基金资助(KJD-XL02-200420)
关键词
导弹预警卫星
传感器调度
遗传算法
模拟退火算法
missile early-warning satellite
sensor scheduling
genetic algorithm
simulated annealing algorithm
