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baroshi: 金币+5, ★★★★★最佳答案 2014-08-27 21:02:55
jssxh: 金币+5, LS-EPI+1, 谢谢参与,请继续关注本版块! 2014-08-28 14:13:13
Accession number:  20142717903211

  Title:  Time registration using the curve fitting algorithm of the adaptive changed length moving window
  Authors:  Yong, Xiaoju1 ; Fang, Yangwang1; Gao, Xiang1; Yang, Pengfei1  
  Author affiliation:  1 College of Airospace Engineering, Air Force Engineering Univ., Xi'an 710038, China  
  Corresponding author:  Yong, X. (yongxiaoju1987@126.com)  
  Source title:  Xi'an Dianzi Keji Daxue Xuebao/Journal of Xidian University
  Abbreviated source title:  Xi'an Dianzi Keji Daxue Xuebao
  Volume:  41
  Issue:  3
  Issue date:  June 2014
  Publication year:  2014
  Pages:  209-213
  Language:  Chinese
  ISSN:  10012400  
  CODEN:  XDKXEP  
  Document type:  Journal article (JA)
  Publisher:  Science Press
  Abstract:  Aimed at the problem of the window length chosen in the time registration algorithm based on curve fitting, an adaptive window length chosen algorithm based on the mode of the movement of a target is proposed. The movement of the target is divided into like-linear mode and curvilinear mode, and the slope of the trace of the target at each data point is calculated, so the state breaking point and the mode of movement at the point of time registration can be confirmed and the length of the window is chosen adaptively. Large numbers of simulations show the reliability of this algorithm under the condition of time delay and the maneuvering target.
  Number of references:  12
  Main heading:  Algorithms  
  Controlled terms:  Curve fitting  -  Data fusion  
  Uncontrolled terms:  Adaptive windows  -  Breaking point  -  Curve fitting algorithm  -  Maneuvering targets  -  Moving window  -  Multi sensor  -  Registration algorithms  -  Time registration  
  Classification code:  723 Computer Software, Data Handling and Applications -  723.2 Data Processing and Image Processing -  921 Mathematics
  DOI:  10.3969/j.issn.1001-2400.2014.03.032
  Database:  Compendex
   Compilation and indexing terms, © 2014 Elsevier Inc.

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