| Suge-Husa自适应滤波简化算法 |
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| 引用本文： | 李果,刘旭焱,马建晓.Suge-Husa自适应滤波简化算法[J].计算机工程与设计,2019,40(5):1360-1364. |
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| 作者姓名： | 李果 刘旭焱 马建晓 |
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| 作者单位： | 南阳师范学院机电工程学院,河南南阳,473061;南阳师范学院机电工程学院,河南南阳,473061;南阳师范学院机电工程学院,河南南阳,473061 |
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| 基金项目： | 南阳师范学院高层次人才科研启动基金项目;河南省科技攻关基金项目 |
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| 摘 要： | 为解决组合导航系统存在因量测数据跳变引起状态突变等问题,分析Suge-Husa自适应滤波算法,针对组合导航系统噪声稳定的特点提出基于最佳遗忘因子的Suge-Husa自适应滤波简化算法,为提高滤波器的跟踪性能,引入调整系数,设计惯性导航系统(INS)、航姿系统(AHRS)和GPS构成松组合导航模型,通过Suge-Husa自适应滤波器对导航参数进行误差估值,对输出误差进行实时修正。结合实验,对模型和算法进行了仿真分析,验证了模型的可行性和算法的有效性。
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| 关 键 词： | Suge-Husa自适应滤波 最佳遗忘因子 卡尔曼滤波 组合导航 简化算法 |
Suge-Husa adaptive filtering simplified algorithm |
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| LI Guo,LIU Xu-yan,MA Jian-xiao.Suge-Husa adaptive filtering simplified algorithm[J].Computer Engineering and Design,2019,40(5):1360-1364. |
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| Authors: | LI Guo LIU Xu-yan MA Jian-xiao |
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| Affiliation: | (College of Mechanical and Electronical Engineering,Nanyang Normal University,Nanyang 473061,China) |
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| Abstract: | To solve measurement data hop of integrated navigation,the Suge-Husa adaptive filtering simplified algorithm was analysed.According to the characteristics of noise stability of integrated navigation,a simplification algorithm of Suge-Husa adaptive filtering based on best forgetting factor was proposed.The adjustment coefficient was used to improve track perfor- mance for filter.An inattentive integrated model including INS,AHRS and GPS was designed,in which Suge-Husa adaptive filtering was used to evaluate output errors.Simulation analysis demonstrates the feasibility of the model and the effectiveness of the algorithm. |
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| Keywords: | Suge-Husa adaptive filtering best forgetting factor Kalman filtering integrated navigation simplification algorithm |
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