| 改进的迭代粒子滤波法在GPS数据处理中的应用 |
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| 作者姓名： | 詹武平 肖同林 吴艳琴 |
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| 作者单位： | 63620部队; |
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| 摘 要： | 研究粒子滤波方法(PF)处理GPS测量数据.采用迭代Kalman滤波方法产生粒子滤波器中的粒子,得到更精确的目标状态估计.同时利用目标运动方程向后外推目标状态,综合利用外推的目标状态以及历史现测数据确定各粒子的权值,降低现测随机误差的影响,从而提高粒子滤波器的性能.采用改进的粒子滤波方法处理GPS测量数据,仿真结果表明...
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| 关 键 词： | GPS EKF 目标跟踪 粒子滤波 |
Improved Iterative Particle Filter for GPS Data Processing |
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| Authors: | Zhan Wuping Xiao Tonglin Wu Yanqin |
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| Institution: | Zhan Wuping,Xiao Tonglin,Wu Yanqin |
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| Abstract: | In this paper,an improved particle filtering(PF) algorithm for the GPS data processing is proposed.The current particles are produced by the iterative extended Kalman filtering(EKF)algorithm,which estimates the state of the target more precisely.A new method for the particle weights is presented.It computes the weights by the history observation value and the extrapolation value of the target state.The improved PF algorithm increases the accuracy of the particle weights and provides more precise solution fo... |
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| Keywords: | GPS EKF Target tracking Particle filtering |
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