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引用本文:秦臻,高井祥,王坚.��������Ӧ��ζ�����˲�[J].大地测量与地球动力学,2010,30(5):144-148.
作者姓名:秦臻  高井祥  王坚
作者单位:中国矿业大学国土环境与灾害监测国家测绘局重点实验室,徐州,221116
基金项目:国家自然科学基金,教育部博士点基金,江苏省自然科学基金
摘    要:????????????д?????????????????????????ζ?????????(UPF)?????????????????????????μ???????????ζ?????????(AR??UPF)???÷??????÷???????????????????????????????UKF??????????????????????Э????????????????????????????????·????????Ч??????????????????????????????

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ROBUST ADAPTIVE SCENTLESS PARTICLE FILTER
Qin Zhen,Gao Jingxiang,Wang Jian.ROBUST ADAPTIVE SCENTLESS PARTICLE FILTER[J].Journal of Geodesy and Geodynamics,2010,30(5):144-148.
Authors:Qin Zhen  Gao Jingxiang  Wang Jian
Institution:China University of Mining and Technology, Key Laboratory for Land Environment and Disaster Monitoring of SBSM,Xuzhou 221116
Abstract:In order to resist the bad influence of measurement outliers and state model errors, a new robust adaptive unscented particle filter is proposed, which is based on unscented particle filter algorithm and adaptively robust filter theory. First, the new method uses the variance expanding model to resist measurement outliers. Second, the adaptive unscented Kalman filter(UKF) is used to adjust the covariance of state predicted value, and to reduce the influence of state model errors. The examples have proved that the new procedure of the robust adaptive unscented particle filter is feasible and efficient.
Keywords:unscented particle filter(UPF)  robust adaptive filter  Robust Adaptive Unscented Particle Filter(AR UPF)  variance inflation  precision of the filter
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