Improved HHT and its application in narrowband radar imaging for precession cone-shaped targets
被引:0
作者:
Shen Zhao
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机构:
College of Mechatronics and Automation, National University of Defense Technology
Department of Missile Engineering, Ordnance Engineering CollegeCollege of Mechatronics and Automation, National University of Defense Technology
Shen Zhao
[1
,2
]
Jie Niu
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h-index: 0
机构:
College of Electronic Science and Engineering, National University of Defense TechnologyCollege of Mechatronics and Automation, National University of Defense Technology
Jie Niu
[3
]
Xiang Li
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h-index: 0
机构:
College of Electronic Science and Engineering, National University of Defense TechnologyCollege of Mechatronics and Automation, National University of Defense Technology
Xiang Li
[3
]
Chunjie Qiao
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机构:
College of Mechatronics and Automation, National University of Defense TechnologyCollege of Mechatronics and Automation, National University of Defense Technology
Chunjie Qiao
[1
]
机构:
[1] College of Mechatronics and Automation, National University of Defense Technology
[2] Department of Missile Engineering, Ordnance Engineering College
[3] College of Electronic Science and Engineering, National University of Defense Technology
Imaging the spatial precession cone-shaped targets with narrowband radar is a new technical approach in mid-course recognition problem. However, most existing time-frequency methods still have some inevitable deficiencies for extracting microDoppler information in practical applications, which leads to blurring of the image. A new narrowband radar imaging algorithm for the precession cone-shaped targets is proposed. The instantaneous frequency of each scattering point is gained by using the improved Hilbert-Huang transform, then the positions of scattering points in the parameter domain are reconstructed. Numerical simulation and experiment results confirm the effectiveness and high precision of the proposed algorithm.