A classification and recognition method based on multi-feature fusion for missile targets
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1.The 38th Research Institute ;2.Anhui Provincial Key Laboratory of Aperture Array and Space Detection ,China Electronics Technology Group Corporation,Hefei Anhui 230088,China

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    Abstract:

    The conventional classification and identification of cruise missiles, air-to-ground missiles, and guided bombs rely heavily on the kinematic characteristics of the targets, often using parameters such as the target's altitude and speed as the basis for classification judgment. With the advancement of missile weapon development technology, single-dimensional kinematic characteristics can no longer meet the demand for refined identification. To address this issue, a classification and identification method for missile targets has been designed, which integrates the kinematic characteristics and Radar Cross-Section(RCS) series characteristics of the targets. By employing a multi-feature hierarchical identification approach, it achieves the classification and identification of the three types of missile targets. Simulation test results indicate that the classification accuracy of this method for the three types of missile targets is better than 95%, validating the effectiveness of the method.

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王凤,王斌.基于多特征融合的导弹类目标分类识别方法[J]. Journal of Terahertz Science and Electronic Information Technology ,2024,22(11):1262~1269

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History
  • Received:January 16,2023
  • Revised:July 07,2023
  • Adopted:
  • Online: December 11,2024
  • Published: