Online GPR-KF for GNSS Navigation with Unmodelled Measurement Error

来源 :第九届中国卫星导航学术年会 | 被引量 : 0次 | 上传用户：lzh23

【摘要】

：

　　To achieve the best performance for a Kalman filter(KF)for global navigation satellite system(GNSS)positioning,a comprehensive measurement model is required

【作者】

：

PanpanHuang;ChrisRizos;CraigRoberts;

【机构】

：

School of Civil and Environmental Engineering,University of New South Wales,Sydney,NSW,2052,Australi

【出处】

：

第九届中国卫星导航学术年会

【发表日期】

：

2018年期

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　　To achieve the best performance for a Kalman filter(KF)for global navigation satellite system(GNSS)positioning,a comprehensive measurement model is required.However,the GNSS observations suffer from unmodelled errors resulting from multipath,interference,etc.These errors are difficult(even impossible)to model using parametric models.

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Online GPR-KF for GNSS Navigation with Unmodelled Measurement Error

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