一种遗传算法优化的卫星钟差预报Prediction of satellite clock errors based on genetic algorithm optimized
程瑞江,陈西宏,刘赞,刘继业
摘要(Abstract)：
针对导航卫星钟差预报精度不高的问题,该文引入了GM-LSSVM钟差预报模型,采用全局寻优能力较强的遗传算法对模型的参数选取过程进行优化,避免模型陷入局部最优,从而改善了组合模型中惩罚因子和核函数参数选择的盲目性。最后选取国际GPS服务组织提供的卫星钟差数据,分别建立GM(1,1)模型、LSSVM模型、GM-LSSVM模型和遗传算法优化的GM-LSSVM模型进行短期钟差预报分析和仿真实验。仿真结果表明,优化后的模型预报精度小于1.3ns,精度比前3种模型提高了45%~60%,符合钟差预报的要求。
关键词(KeyWords)： 卫星钟差;钟差预报;灰色系统;最小二乘向量机;遗传算法
基金项目(Foundation):
作者(Author): 程瑞江,陈西宏,刘赞,刘继业
DOI: 10.16251/j.cnki.1009-2307.2017.05.005
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