An effective HRRP recognition method is expected to have the ability to mine hidden, novel and potentially valuable information from such a dataset as is enormous and at the same time contaminated by noise. As a matter of fact, such ability can be provided exactly by the emerging data mining technology. As a kind of
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Radar target recognition refers to using radar equipment to obtain information of characteristics from targets,and uses priori knowledge from all sorts of targets which have been mastered to recognize properties of unknown targets.At present, the main techniques of pattern recognition applied on radar target recognition include statistical pattern recognition methods,fuzzy pattern recognition methods and neural
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In this paper, high resolution range steady imaging under the conical angle measurement, angle glint suppression under conical angle measurement , target recognition under momopulse angle measurement are studied.In chapter 1, the background and basic theories of the paper are introduced. First the progress of anti-tank homing weapons is introduced, then the research and progress
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With the development of the theory and technology of wide-band signal, and the improvement of polarimetric technology, the radar having ability to get high resolution range profiles and fulfill full polarization measurement or polarization shifting, is becoming the mainstream of modern radars, which improves and extends the detection capability and application domain of radar. Compared
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It is known to all that radar target recognition (RTR) is very valuable for military application. With the development of radar technology and the complexity of the environments of radar targets, nonlinear approaches are meaningful for RTR. This dissertation researches RTR using nonlinear approaches.In the first chapter, the previous research approaches of RTR are reviewed.
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Although evolutionary computation has been widely used in many fields, there still exist some open problems in the theories and the applications. This thesis is focused on coevolutionary computation, one important field of evolutionary computation. Systematic researches have been made along five challenging problems, classification in data mining, satisfiability problem, numerical optimization with or without
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The radar target recognition, which plays an important role in modern radar, has been one of the key components of the present and future defense weapon system. The range profiles of target can be obtained easily by high-range resolution radar (HRR). The range profiles contain more information for recognition. Many methods of feature extraction and
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In missile defense program, the midcourse of trajectory is the most difficult phase for alleging fraud. As the main sensor, the ground-based radar represents the classification capability of the missile defence system to a great extent. Making researche on radar target recognition and evaluation in midcourse is provided with great significance not only for developing
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With the new requirement for radar to get more information from the battlefield, radar automatic target recognition (ATR) as a new research area appeared in the 1960s. The development of high range resolution radar has given strong support to RATR. High range resolution profile (HRRP) contains the target structure signatures and is easy to be
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Radar target recognition plays an important role in modern radar, and finds its ways to wide military and civilian applications. High resolution range profiles contain more structural information of a target, and are easy to obtain and process, and thus provide us with a more reliable tool for target recognition. Currently, kernel method and manifold
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