Journal of Systems Engineering and Electronics ›› 2011, Vol. 33 ›› Issue (9): 1913-1920.doi: 10.3969/j.issn.1001-506X.2011.09.01

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Survey of featurebased algorithms for radar target maneuver detection

 CHU Yi-long, FAN Gong-qi, LEI Zai-ai, FU Jiang   

  1. ATR Key Laboratory, National University of Defense Technology, Changsha 410073, China
  • Online:2011-09-17 Published:2010-01-03

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Abstract:

According to the information employed in the maneuver detector, radar target maneuver detection algorithms can be classified into two categories: innovation-based and feature-based.  Therelationship between motion mode and its sensor feature is firstly analyzed, and three classificationmethodologies of the algorithms are introduced. The various maneuver detection algorithms are then surveyedcomprehensively according to the information employed by a detector. This survey emphasizes the underlying ideas and assumptions of the algorithms, and their merits and demerits are also analyzed.

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