期刊文献+

GPS导航滤波器算法优化研究

On Optimization of Filter for GPS Navigation
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摘要 引入一种动态性能较优的无偏导滤波器,针对其在GPS导航系统线性状态时的低精度表现,对单一的导航滤波器进行改进。采用一种组合滤波结构,根据GPS接收机的输出状态来进行线性及非线性滤波器的切换滤波。其中,线性滤波器采用优化的传统卡尔曼滤波器,并在仿真实验中验证其线性滤波优势;非线性滤波器采用了无偏导滤波器。车辆仿真实验表明,这种线性-非线性组合滤波器的误差低,运算量较小,整体滤波性能比单一滤波器高。 Owing to low-precision of a derivative-free filter on linear statement of GPS navigation,which has the superior dynamic performance,the single filter is improved.According to the output state of the GPS receiver to choose linear or nonlinear filter,a kind of combined filtering structure is proposed.Its linear filtering of the improved conventional kalman filter is verified in simulation experiment to be good,and a derivative-free filter is adopted as the nonlinear filter.The vehicle simulation results show that the combined linear-nonlinear filter has low error and computation is better than the single filter.
作者 李沁雪
出处 《茂名学院学报》 2010年第3期26-29,共4页 Journal of Maoming College
基金 2009年茂名学院青年创新人才培育项目(2009YC04)
关键词 无偏导 线性 单一 组合滤波 非线性 derivative-free linear singleness combined filtering nonlinear
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参考文献5

  • 1柴霖,袁建平,罗建军,方群,岳晓奎.非线性估计理论的最新进展[J].宇航学报,2005,26(3):380-384. 被引量:35
  • 2刘国海,李沁雪,施维,李康吉.动态卡尔曼滤波在导航试验状态估计中的应用[J].仪器仪表学报,2009,30(2):396-400. 被引量:48
  • 3Shunlan Liu.Single Observer Passive Location using Phase Rate of Change withthe Modi-fied UKF[J].Communications,Circuits and Systems Proceedings,2006(1):311-314.
  • 4Li,X.R.,and Jilkov,V.P.Survey of maneuvering target tracking:Part I dynamic models[C].IEEE Transactions on aerospace and electronic systems,2003,39(4):1333-1364.
  • 5N.Tudoroiu,K.Khorasani.State Estimation of the Vinyl Acetate Reactor Using U nscented Kalman Filters (UKF)[J].Industrial Electronics and Control Applications,2005:1121-1201.

二级参考文献23

  • 1张红梅,邓正隆,林玉荣.一种基于模型误差预测的UKF方法[J].航空学报,2004,25(6):598-601. 被引量:23
  • 2张友民,戴冠中,张洪才.卡尔曼滤波计算方法研究进展[J].控制理论与应用,1995,12(5):529-538. 被引量:45
  • 3万德均,房建成,王庆.GPS动态滤波的理论、方法及其应用[M].南京:江苏科学技术出版社,2000.
  • 4HAYTHAM Q, LEONHARD R. Unscented and extended Kalman estimators for non-linear indoor tracking using distance measurements [J]. Positioning Navigation and Communication, 2007 ( 3 ) : 177-181.
  • 5WAN E A, VAN DER MERWE R. The unscented Kalman filter for nonlinear estimation [ J ]. Adaptive Systems for Signal Processing, Communications and Control Symposium, 2000 : 153-158.
  • 6VAN DER MERWE R, WAN E A. The square-root unscented kalman filter for state and parameter estimation [J ]. Acoustics, Speech and Signal Processing Proceedings, 2001,6:3461-3464.
  • 7GORDON N, SALMOND D J, SMITH A F M. Novel approach to nonlinear and non-Gaussian Bayesian state estimarion [ J ]. IEEE Proceedings- F, 1993, 140 (2) : 107-113.
  • 8LIU SH L. Single observer passive location using phase rate of change with the modified UKF [ J ]. Communications, Circuits and Systems Proceedings, 2006, 1: 311-314.
  • 9SIMANDL M, DUNIIK J, KRAL L. Derivative-free estimation methods: new results and performance analysis [R]. PlzeN: 2007:35-39.
  • 10Farina A, Ristic B, Benvenuti D. Tracking a ballistic target:comparison of several nonlinear filters[ J]. IEEE Trans on Aerospace and Electronic Systems, 2002, 38(3): 854 - 867.

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