期刊文献+

一种卡尔曼滤波自适应算法 被引量:3

An adaptive Algorithm on Kalman Filtering
下载PDF
导出
摘要 自适应滤波是指随着外部信号的变化,滤波器能够自我调节滤波参数,使得滤波器的某一性能指标达到最优。文章以卡尔曼滤波理论为基础,给出一种新的自适应卡尔曼滤波算法。 Adaptive-filtering means the filter could adjust filtration parameters by itself and make some performance index optimal when the external signals vary.This paper will give a new Kalman filter algorithm whose base is Kalman filter theory.
机构地区 中船重工
出处 《大众科技》 2012年第3期23-24,13,共3页 Popular Science & Technology
关键词 数字信号处理 卡尔曼滤波器 MATLAB Digital Signal Processing Kalman Filter MATLAB
  • 相关文献

参考文献5

二级参考文献13

  • 1赵琳,孙枫,郝燕玲.推算船位/罗兰C(GPS)组合导航系统的研究及其海上试验[J].中国航海,1996,19(1):69-70. 被引量:9
  • 21,Fong Yu-Shan. Comparison study of nonlinear filters in image processing applications. Optical Engineering, 1989,28(7):749~760. 被引量:1
  • 32,Lee Yong Hoon. Generalized median filtering and related nonlinear filtering techniques. IEEE Trans. Acoust., Speech, Signal Processing, 1985,ASSP-33(3):672~683. 被引量:1
  • 43,Sebastien Guillon. Adaptive Nonlinear Filters for 2D and 3D Image Enhancement. Signal Processing, 1998,67(3):237~254. 被引量:1
  • 54,Xu You. A robust adaptive estimator for filtering noise in images. IEEE Trans. Image Processing, 1995,4(5):693~699. 被引量:1
  • 65,Amlam Kundu. Combination median filter. IEEE Trans. Image Processing, 1992,1(3):422~429. 被引量:1
  • 76,Hwang H. Adaptive median filters:New algorithms and results. IEEE Trans. Image Processing, 1995,4(4):499~502. 被引量:1
  • 87,Reinhard Bernstein. Adaptive nonlinear filters for simultaneous removal of different kinds of noise in images. IEEE Trans. Circuits Syst., 1987, CAS-34(11):1275~1291. 被引量:1
  • 98,Kundu A. Application of two-dimensional generalized mean filtering removal of impulse noises from images. IEEE Trans. Acoust., Speech, Signal Processing., 1984, ASSP-32(3):600~609. 被引量:1
  • 109,Pekka Heinonen. FIR-median hybrid filters. IEEE Trnas. Acoust.,Speech, Signal Processing, 1987, ASSP-35(6):832~838. 被引量:1

共引文献83

同被引文献15

引证文献3

二级引证文献13

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部