Feature extraction is of great importance in radar targetrecognition. The extraction of effective and reliable features is fundamental and critical for the construction of targetrecognition systems. It is difficult ...
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Feature extraction is of great importance in radar targetrecognition. The extraction of effective and reliable features is fundamental and critical for the construction of targetrecognition systems. It is difficult to build target scattering models rigorously for regular low-resolution radars abiding by electromagnetic theories. Based on the observation and analysis on a large number of real-life data, and taking the thinking process and the description method of radar operators for reference, a set of feature extraction methods basing on visual effects for dynamic radar target echo series have been introduced. The application of these methods in multiple radar targetrecognition projects has testified their effectiveness and robustness.
作者：
王雪松肖顺平陶华敏庄钊文
Automatic Target Recognition Laboratory National University of Defense Technology Changsha 410073 China
Institute of Command Technology Beijing 101407 China Automatic Target Recognition Laboratory National University of Defense Technology Changsha 410073 China Automatic Target Recognition Laboratory
National University of Defense Technology Changsha 410073 China
On the basis of nonlinear programming model and solution of radar target polarization enhancement, a novel efficient iterative algorithm is presented. The optimization efficiency and precision are improved. The perfor...
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On the basis of nonlinear programming model and solution of radar target polarization enhancement, a novel efficient iterative algorithm is presented. The optimization efficiency and precision are improved. The performance of algorithm is analyzed and verified by experiments.
The problem of radar target polarization enhancement is studied. A nonlinear programming model is constructed. Through the analysis via Lagrange multiplier method, this nonlinear optimization problem is equivalently t...
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The problem of radar target polarization enhancement is studied. A nonlinear programming model is constructed. Through the analysis via Lagrange multiplier method, this nonlinear optimization problem is equivalently transformed into a zero-search problem of a monotone function and a series of constrained linear optimization problems. Also the derivative properties of the monotone function are discussed.
n the basis of nonlinear programming model and solution of radar target polarization enhancement,a novel efficient iterative algorithm is presented. The optimization effieiency and precision are improved. The perfor-m...
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n the basis of nonlinear programming model and solution of radar target polarization enhancement,a novel efficient iterative algorithm is presented. The optimization effieiency and precision are improved. The perfor-mance of algorithm is analyzed and verified by experiments.
The high-resolution radar waveform describes the amplitude of targets' multiple scattering centers and their distribution in the radial *** view from time domain,target waveform can also be regarded as a time sequ...
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ISBN:
(纸本)0780329147
The high-resolution radar waveform describes the amplitude of targets' multiple scattering centers and their distribution in the radial *** view from time domain,target waveform can also be regarded as a time sequence such that it can be classified using recurrent neural networks(RNN)which are suitable for time sequence processing.A modified partially RNN and its algorithm are *** method reaches above 90%average recognition rate for 8 class high-resolution radar targets,and it is tolerant of time shift to a certain degree.
In this paper,the entropy method is used as a well-suited tool to analyze the effectivity and stability of the reasoning models. We analyse two kinds of typical reasoning models: certainty theory and D-S theory. With ...
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ISBN:
(纸本)0780318935
In this paper,the entropy method is used as a well-suited tool to analyze the effectivity and stability of the reasoning models. We analyse two kinds of typical reasoning models: certainty theory and D-S theory. With the aid of the colony entropy, the effectivity and stability of models is studied by the convergence of entropy on the condition of intersupporting evidence. Moreover, we contrast two reasoning models in effectivity, stability and robustness.< >
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