摘要
以改善因子损失衡量的测速比和时间效用比为联合指标,评价了Cart Wheel、Pendulum、SAR-Train等典型编队的性能.采用遗传算法优化编队,以卫星的6个轨道根数为优化变量,仿真证明了性能评价指标和优化算法的正确性.然后根据轨道摄动理论和GMTI(Ground Moving Target Indication)对垂直基线的限制来制定约束条件,优化得到了同时符合紧密编队控制要求和GMTI性能需求的编队构形.
The joint criterion, which combines the detectable velocity percent with the effective system cycle determined by the improvement factor loss,is presented. The GMTI （Ground Moving Target Indication）performances of the classical formations, such as the Cartwheel,Pendulum, SAR-Train and so on,are evaluated by the presented criterion. Genetic algorithm is used to optimize the formation, with the satellite orbital parameters as the design variables.Simulation results demonstrate the validity of the evaluation function and the optimization algorithm.At last,the formation restriction was established according to the orbital perturbation theory and the cross-track baseline limition for GMTI performance. The optimal formation satisfying the close flying control theory and the GMTI requirement is presented.
出处
《电子学报》
EI
CAS
CSCD
北大核心
2007年第6期1037-1041,共5页
Acta Electronica Sinica
关键词
分布式小卫星
动目标检测
编队优化
遗传算法
轨道摄动
distributed small satellites
ground moving target indication
formation optimization
genetic algorithm
orbital perturbatio
