数学季刊 ›› 1999, Vol. 14 ›› Issue (3): 36-42.

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基于单传感器多模型的多分辨目标跟踪融合算法

  

  1.  Department of Mathematics,Henan University,Kaifeng,475001;Department of Automatic Control,Northwest Polytechnical University,X i’an,710072;Kaifeng University,Kaifeng,475004; Luohe Normal School,462000


  • 收稿日期:1999-04-06 出版日期:1999-09-30 发布日期:2024-09-11
  • 基金资助:
    Supported by the National Natural Science Foundation of Chain and the Natural Science Foundation of Henan Provience.

Multiresolutional Maneuvering Target Tracking Fusion Algorithm Based on Singular Sensor and Multipale Models

  1.  Department of Mathematics,Henan University,Kaifeng,475001;Department of Automatic Control,Northwest Polytechnical University,X i’an,710072;Kaifeng University,Kaifeng,475004; Luohe Normal School,462000

  • Received:1999-04-06 Online:1999-09-30 Published:2024-09-11
  • Supported by:
    Supported by the National Natural Science Foundation of Chain and the Natural Science Foundation of Henan Provience.

摘要: Multiresolutional signal processing has been employed in image processing and computer vision to achieve improved performance that cannot be achieved using conventional signal processing techniques at only one resolution level [1,2,5,6].In this paper,we have associated the thought of multiresolutional analysis with traditional Kalman filtering and proposed  a new fusion algorithm based on singular Sensor and Multipale Models for maneuvering target tracking.

关键词: multiresolutional analysis, wavelet transform, Kalman filtering, Target Tracking

Abstract: Multiresolutional signal processing has been employed in image processing and computer vision to achieve improved performance that cannot be achieved using conventional signal processing techniques at only one resolution level [1,2,5,6].In this paper,we have associated the thought of multiresolutional analysis with traditional Kalman filtering and proposed  a new fusion algorithm based on singular Sensor and Multipale Models for maneuvering target tracking.

Key words: multiresolutional analysis, wavelet transform, Kalman filtering, Target Tracking

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