期刊文献+

基于MIMU/GPS/EC的联邦卡尔曼滤波器设计

Design of Federal Kalman Filter Based on MIMU/GPS/EC
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摘要 针对组合导航系统高精度、高容错性、高可靠性的实际应用要求,提出了基于MIMU/GPS/电子罗盘的组合导航方案,设计并实现了位置、速度、姿态分别组合的无重置式联邦滤波器,各子滤波器相互独立工作,无反馈重置带来的相互影响,保证了系统最高的容错性能和较高的精度.仿真试验结果表明,所设计的基于MIMU/GPS/电子罗盘的联邦滤波算法能够有效抑制纯惯导的误差发散问题,具有计算量小、容错性高、精度高等特点,有着广阔的应用前景. Aiming at the practical application requirements of high precision and high fault- tolerance, MIMU / GPS / EC (electronic compass) integrated navigation program was proposed, and the non-reset federated filter consisting of position, velocity, and attitude sub-filter was designed. Each sub-filter worked independently without the feedback of reset, bringing the highest level of fault tolerance and high precision. Simulation result shows that the designed MIMU / GPS / EC federal filtering algorithm can effectively inhibit the pure inertial navigation error divergence problem with small calculation amount, high fault tolerance and high precision. The filter has broad application prospects.
出处 《测试技术学报》 2012年第4期332-336,共5页 Journal of Test and Measurement Technology
基金 国家自然科学基金资助项目(50905169)
关键词 组合导航 信息融合 联邦滤波 容错性 仿真 integrated navigation information fusion federated filter fault tolerance simulation
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