| UWB radar target recognition based on time-domain bispectrum |
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| 作者姓名： | Liu Donghong~ Zhang Yongshun~ Chen Zhijie~ & Cheng Junbin ~ . The Missile Inst. Air Force Engineering Univ. Sanyuan P.R. China . The Radar and EW Inst. Equipment Academy of Air Force Beijing P.R . China . Nanjing Univ. of Aeronautics and Astronautics Nanjing P.R. China |
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| 作者单位： | Liu Donghong~1，Zhang Yongshun~1，Chen Zhijie~ 1，2 & Cheng Junbin ~3 1. The Missile Inst.，Air Force Engineering Univ.，Sanyuan 713800，P.R. China; 2. The Radar and EW Inst.，Equipment Academy of Air Force，Beijing 100085，P.R . China; 3. Nanjing Univ. of Aeronautics and Astronautics，Nanjing 210016，P.R. China |
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| 基金项目： | This work was supported in part by National Defence Science and Technology Foundation (413220402) |
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| 摘 要： | 1 .INTRODUCTIONWith rapid development of computer technology ,modern radar is required to not only find and tracktargets but also extract ,classify and identify tar-gets which signatures have been detected by radar .Information and signatures of target can be extrac-ted fromamplitude and phase of echoes .But thosecan not be extracted using power spectrumbecauseit suppress phase information of signal , moreover ,the method can not eli minate clutter and noise .In recent years , the researc…
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| 收稿时间： | 22 January 2005 |
UWB radar target recognition based on time-domain bispectrum |
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| Liu Donghong,Zhang Yongshun,Chen Zhijie , & Cheng Junbin . The Missile Inst.,Air Force Engineering Univ.,Sanyuan ,P.R. China, . The Radar and EW Inst.,Equipment Academy of Air Force,Beijing ,P.R . China, . Nanjing Univ. of Aeronautics and Astronautics,Nanjing ,P.R. China.UWB radar target recognition based on time-domain bispectrum[J].Journal of Systems Engineering and Electronics,2006,17(2):274-278. |
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| Authors: | Liu Donghong Zhang Yongshun Chen Zhijie Cheng Junbin |
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| Institution: | 1. The Missile Inst., Air Force Engineering Univ., Sanyuan 713800, P. R. China;2. The Radar and EW Inst., Equipment Academy of Air Force, Beijing 100085, P. R. China;3. Nanjing Univ. of Aeronautics and Astronautics, Nanjing 210016, P. R. China;1. Research Scholar,Department of Inormation and Communication Engineering, Anna University, Chennai, Inida;2. Professor Computer Science and Engineering,SSN College of Engineering, Kalavakkam, Tamil Nadu, India;1. Departament de Física, Universitat de les Illes Balears, 07122 Palma de Mallorca, Balearic Islands, Spain;2. Department of Mathematics, American University of the Middle East (in affiliation with Purdue University-USA), Kuwait City, 15453 Egaila, Kuwait;3. Russian Academy of Sciences, Institute for Control Sciences, 65 Profsoyuznaya, 117997 Moscow, Russia;4. University of Science and Technology at Zewail City, 12588 Giza, Egypt;5. Department of Physics, Faculty of Science, King Abdulaziz University Jeddah, P.O. Box 80203, Jeddah 21589, Saudi Arabia;1. Lawrence Livermore National Laboratory, Livermore, CA, United States of America;2. Department of Nuclear Engineering, North Carolina State University Raleigh, NC, United States of America;1. Fluid Dynamics and Solid Mechanics Group (T-3), Los Alamos National Laboratory, Los Alamos, NM 87545, United States of America;2. Applied Mathematics and Plasma Physics Group (T-5), Los Alamos National Laboratory, Los Alamos, NM 87545, United States of America;3. Computational Physics and Methods Group (CCS-2), Los Alamos National Laboratory, Los Alamos, NM 87545, United States of America |
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| Abstract: | Complex targets are irradiated by UWB radar, n ot only the mirror scattering echoes but also the multi-scattering interacting ec hoes are included in target echoes. These two echoes can not be distinguished by classical frequency spectrum and power spectrum. Time-domain bispectrum featur es of UWB radar signals that mingled with noise are analyzed, then processing th is kind of signal using the method of time-domain bispectrum is experimented. A t last, some UWB radar returns with different signal noise ratio are simulated u sing the method of time-domain bispectrum. Theoretical analysis and the results of simulation show that the method of extraction partial features of UWB radar targets based on time-domain bispectrum is good, and target classification and recognition can be implemented using those features. |
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| Keywords: | UWB Radar target recognition bispectrum higher-order spectra |
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