提高GPS定位精度的群调度滤波算法  

Group scheduling filtering algorithm for facilitating GPS positioning accuracy

作　　者：陈斌[1] 杜醒[1] 李旭[1] CHEN Bin;DU Xing;LI Xu(Institute of Flight Technology,Civil Aviation University of China,Tianjin 300300,China)

机构地区：[1]中国民航大学飞行分校,天津300300

出　　处：《中国安全生产科学技术》2020年第10期178-183,共6页Journal of Safety Science and Technology

基　　金：国家重点研发计划项目(2016YFB0502400)。

摘　　要：为解决现行安全生产科技领域中全球定位系统(GPS)/惯性导航系统(INS)融合系统容易产生较大时变误差的关键问题,满足GPS定位信号的精度和信号数据处理时间的要求,提出1种群调度滤波算法,通过实验仿真,分别与模糊算法、机器学习算法及卡尔曼滤波网络算法进行比较研究。结果表明:群调度滤波算法兼顾了定位精度与数据处理时间,具有较大优势,可在航空安全、船舶安全、应急监测、灾后抢险等安全科技领域广泛应用。In order to solve the problem that the current GPS(Global Positioning System)/INS(Inertial Navigation System)fusion system is easily to produce large time-varying error in the field of work safety science and technology,and meet the requirements for the accuracy of GPS positioning signals and the processing time of signal data,a group scheduling filtering algorithm was proposed,and it was compared with other algorithms through experimental simulation,including the fuzzy algorithm,machine learning algorithm and Kalman filter network algorithm.The results showed that the group scheduling filtering algorithm had great advantages in both positioning accuracy and real-time data processing,so it can be widely used in the aviation safety,ship safety,emergency monitoring,post-disaster rescue and other safety science and technology fields.

关 键 词：全球定位系统 定位精度 群调度滤波算法 机器学习算法 卡尔曼滤波网络 

分 类 号：X913.4[环境科学与工程—安全科学]