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基于SRCKF的带有乘性相关噪声的滤波方法研究 被引量:1

Research on Filtering Method with Multiplicative Correlated Noise Based on SRCKF
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摘要 针对带有乘性噪声的非线性滤波问题,首先对比较经典的非线性滤波方法进行简单的介绍,并给出其优缺点;其次在带有乘性相关噪声的离散非线性系统模型的基础上,基于SRCKF滤波框架,推导了其滤波实现;最后在乘性噪声条件下对各种非线性滤波器精度进行了对比分析,结果表明,相较于传统非线性滤波器,论文推导的带有乘性噪声的非线性滤波方法具有更高的滤波精度。 For the problem of nonlinear filtering with multiplicative noise,firstly,a simple introduction to the more classic nonlinear filtering methods and their advantages and disadvantages are given.Secondly,based on the discrete nonlinear system mod⁃el with multiplicative noise Based on the SRCKF filtering framework,the filtering implementation is derived.Finally,the accuracy of various nonlinear filters is compared and analyzed under multiplicative noise conditions.The results show that,compared with tra⁃ditional nonlinear filters,the non-linear filtering method of natural noise has higher filtering accuracy.
作者 沈念如 SHEN Nianru(Nanjing University of Science and Technology,Nanjing 210094)
机构地区 南京理工大学
出处 《舰船电子工程》 2021年第12期28-31,44,共5页 Ship Electronic Engineering
关键词 非线性滤波 目标跟踪 平方根容积卡尔曼滤波 相关噪声 乘性噪声 nonlinear filtering target tracking SRCKF correlated noise multiplicative noise
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  • 1段方,刘建业,李荣冰.基于平淡卡尔曼滤波器的微小卫星姿态确定算法[J].上海交通大学学报,2005,39(11):1899-1903. 被引量:12
  • 2彭志专,冯金富,聂光戍,谷志勇.基于修正扩展卡尔曼序贯滤波的信息融合算法[J].空军工程大学学报(自然科学版),2007,8(5):33-36. 被引量:6
  • 3Bertsekas D P. Dynamic programming and optimal control[M]. 3rd ed. Nashua: Athena Scientific, 2007: 12-25.
  • 4Sorenson H W. On the development of practical non-linear filters[J]. Information Sciences, 1974, 7(1): 230-270.
  • 5Anderson B D O, Moore S B. Optimal filtering[M]. New Jersey: Dover Publications Inc., 1979: 105-123.
  • 6Norgaard M, Poulsen N K, Ravn O. New developments in state estimation for nonlinear systems[J]. Automatica, 2000, 36(11): 1627-1638.
  • 7Schei T S. A finite-difference method for linearization in nonlinear estimation algorithms[J]. Automatica, 1997, 33(11): 2053-2058.
  • 8Ito K, Xiong K. Gaussian filters for nonlinear filtering problems[J]. IEEE Trans on Automatic Control, 2000, 45(5): 910-927.
  • 9Duník J, ˇSimandl M, Straka O. Performance analysis of derivative-free filters[C]. Proc of the 44th IEEE Conf on Decision and Control, and 2005 European Control Conf. Seville, 2005: 1941-1946.
  • 10ˇSimandl M, Duník J. Derivative-free estimation methods: New results and performance analysis[J]. Automatica. 2009, 45(7): 1749-1757.

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