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基于交互式多模型的多传感器组合导航系统
引用本文:林雪原.基于交互式多模型的多传感器组合导航系统[J].兵工自动化,2011,30(6):27-30.
作者姓名:林雪原
作者单位:海军航空工程学院电子信息工程系;
基金项目:国家自然科学基金(60874112); “泰山学者”建设工程专项经费资助
摘    要:针对复杂环境中组合导航系统模型参数变化导致单一参数滤波器滤波精度下降的问题,对基于交互式多模型的多传感器组合导航系统进行研究。给出状态基于全局信息的融合估计公式,将交互式多模型卡尔曼滤波算法应用于SST/GPS/SINS多传感器组合导航系统,并与单一模型下的卡尔曼滤波方法进行比较。仿真实验结果表明,该方法能提高组合导航系统的滤波精度与可靠性,但当实际的模型集不能覆盖实际的所有模态时,系统的滤波精度会有所下降。

关 键 词:多传感器组合导航  交互式多模型滤波器  融合算法
收稿时间:2013/1/22 0:00:00

Study on Multi-Sensor Integrated Navigation System Based on Interacting Multi-Model
Lin Xueyuan.Study on Multi-Sensor Integrated Navigation System Based on Interacting Multi-Model[J].Ordnance Industry Automation,2011,30(6):27-30.
Authors:Lin Xueyuan
Affiliation:Lin Xueyuan(Dept.of Electronic Information Engineering,Naval Aeronautical & Astronautical University,Yantai 264001,China)
Abstract:Aiming at the problem of the descending filtering precision of filter with single fixed parameter,which is generated by the integrated navigation system's model parameter change deduced by complex environment,study the multi-sensor integrated navigation system based on interacting multi-mode.Give state fusion estimation formula based on all information,use kalman filter algorithm of interacting multi-mode into SST/GPS/SINS multi-sensor integrated navigation system and compare it with single model kalman fil...
Keywords:multi-sensor integrated navigation system  interacting multi-model filter  fusion algorithm  
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