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处理有色观测噪声的粒子滤波算法
引用本文:范澎湃,隋立芬,黄贤源. 处理有色观测噪声的粒子滤波算法[J]. 测绘学院学报, 2009, 0(2)
作者姓名:范澎湃  隋立芬  黄贤源
作者单位:信息工程大学测绘学院;
基金项目:国家自然科学基金资助项目(40474007);;信息工程大学测绘学院研究生创新创优基金资助
摘    要:针对经典Kalman滤波无法直接处理有色噪声的问题,采用多项式长除法将有色观测噪声模型展开成无穷级数,截断取其有限项获得有色噪声的先验信息;然后利用粒子滤波能够处理非高斯噪声的特点对有色观测噪声进行处理。通过一个GPS定位算例,将此新方法与观测扩增方法进行了分析和比较。结果证明,利用该方法能有效地控制有色观测噪声的影响。

关 键 词:Kalman滤波  有色噪声  观测扩增法  粒子滤波  

Particle Filter for Colored Measurement Noise
FAN Peng-pai,SUI Li-fen,HUANG Xian-yuan. Particle Filter for Colored Measurement Noise[J]. Journal of Institute of Surveying and Mapping, 2009, 0(2)
Authors:FAN Peng-pai  SUI Li-fen  HUANG Xian-yuan
Affiliation:Institute of Surveying and Mapping;Information Engineering University;Zhengzhou 450052;China
Abstract:Polynomial-quotient has been used,aiming at solving problem of the colored measurement noises,which translates colored observation noises into infinite series,and the variances of colored observation noises have been calculated.Particle filter was followed to estimate the parameters.In order to verify the validity and rationality of this method,a contrast between this method and the approach of observation expand filter was given.The result showed that the the influences of the colored observation noises ef...
Keywords:Kalman filter  colored observation noises  observation expand  particle filter  
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