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Real-time implementation of mixture particle filter for 3D RISS/GPS integrated navigation solution

机译:用于3D RISS / GPS集成导航解决方案的混合粒子滤波器的实时实现

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摘要

An optimised real-time realisation of a mixture particle filter (PF) integrated 3D navigation system for land vehicles based on Global Positioning System (GPS) and Reduced Inertial Sensors System (RISS) is introduced. The PF is a nonlinear filter that can handle errors and uncertainties. Although a mixture PF decreases the number of particles compared to a sampling/importance resampling (SIR) PF, the implementation on embedded systems needs further optimisation to run at higher rates. Introduced is an optimised realtime implementation of a mixture PF on a 600 MHz ARM processor. The optimisation is based on fast median-cut clustering to reduce the complexity of search in the weighting step. The proposed real-time system was tested on a real mobile robot trajectory, showing fast and accurate performance.
机译:介绍了一种基于全球定位系统(GPS)和简化惯性传感器系统(RISS)的混合动力滤清器(PF)集成的3D陆地车辆导航系统的实时优化实现。 PF是一种非线性滤波器,可以处理误差和不确定性。尽管与采样/重要性重采样(SIR)PF相比,混合PF减少了粒子数量,但嵌入式系统的实现需要进一步优化才能以更高的速率运行。引入的是在600 MHz ARM处理器上的混合PF的优化实时实现。优化基于快速中位数割聚类,以减少加权步骤中搜索的复杂性。拟议的实时系统在真实的移动机器人轨迹上进行了测试,显示了快速而准确的性能。

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  • 来源
    《Electronics Letters》 |2010年第15期|P.1083-1084|共2页
  • 作者单位

    Department of Electrical & Computer Engineering, Queen's University, Kingston, ON K7L 3N6, Canada The Royal Military College, Kingston, ON K7K 7B4, Canada;

    rnDepartment of Electrical & Computer Engineering, Queen's University, Kingston, ON K7L 3N6, Canada The Royal Military College, Kingston, ON K7K 7B4, Canada The Department of Computer and Systems Engineering, Ain Shams University, Cairo, Egypt;

    rnDepartment of Electrical & Computer Engineering, Queen's University, Kingston, ON K7L 3N6, Canada;

    rnDepartment of Electrical & Computer Engineering, Queen's University, Kingston, ON K7L 3N6, Canada The Royal Military College, Kingston, ON K7K 7B4, Canada;

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