Results 231 to 240 of about 11,440 (262)

Recursively partitioning neural networks for radar target recognition

IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339), 2003
Conflicting information in the training data is responsible for most of the problems experienced by the backpropagation algorithm during network training. The self-partitioning neural network (SPNN) approach has been shown to be effective in overcoming the ill effects of learning conflict that exists among the patterns of a given class.
Ted Kerstetter, Stoney Massey, Joe Roberts   +2 more
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Characterization and recognition of radar targets using multiscale edges

IEEE International Conference on Acoustics Speech and Signal Processing, 1993
A method for characterizing radar signatures using the wavelet transform is developed based on the principle of scattering centers. Scattering features represented as multiscale edges can be identified based on their Lipshitz regularity coefficients.
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Wavelet Transformation and Signal Discrimination for HRR Radar Target Recognition

Multidimensional Systems and Signal Processing, 2003
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Dale E. Nelson, Janusz A. Starzyk, D. David Ensley   +2 more
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Radar target recognition based on fuzzy clustering

ICSP '98. 1998 Fourth International Conference on Signal Processing (Cat. No.98TH8344), 2002
A new method of recognizing the aircraft number of a radar target from a narrowband IF signal of non-coherent radar is presented. According to the received narrowband IF echo signal, its autocorrelation matrix is computed. The feature vector is the eigenvalue of the autocorrelation matrix, and the orthogonal transformation is accomplished to remove the
null Jiang Jing, null Wang Shouyong, null Yu Lan, null Zuo Delin, null Yang Zhaoming, null Tang Changwen   +5 more
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Study on radar range profiles for target recognition

Proceedings of International Radar Conference, 2002
In the high frequency region, the radar range profiles are chosen as feature detectors for target recognition. The profile is dependent on the aspect of the target. In order to make radar target recognition (RTR) more effective, the definitions of correlation length and correlation angle are given. In the frequency domain, the most important feature of
null Jiang Wenli, null Jing Haifeng, null Liu Zhiwen, null Ke Youan   +3 more
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Radar Target Recognition Using Selective Resonance Excitation

IEICE Proceeding Series, 2015
Resonance-based radar target recognition is premised on the observation of natural resonant frequencies so that target discrimination and classification can occur. This implies the use of ultra-wideband (UWB) radar in order to excite a sufficiently wide range of target frequencies, however developing practical UWB radar systems is a significant ...
Hargrave, Chad Owen, Clarkson, I. Vaughan L   +1 more
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Study of two methods in radar target recognition

Proceedings of International Radar Conference, 2002
The two methods of Fourier-Mellin transform and wavelet transform are studied in radar target feature extraction. Also the two methods are used to classify three kinds of model plane and make make comparison of the results thoroughly and systematically and some valuable conclusions are drawn.
null He Guanghui, null Shen Xiuming, null Fen Zhenming, null Fan Honghong, null Peng Yinnin, null Lu Dajing   +5 more
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Research on Radar Target Recognition Algorithms

2023 3rd International Symposium on Artificial Intelligence and Intelligent Manufacturing (AIIM), 2023
Yijie Zhang, Junjie Xi, Shaoqi Wang, Dengwei Gao, Guannan Chang   +4 more
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On adaptive compressive sensing and radar target recognition

Automatic Target Recognition XXVIII, 2018
Adaptive or sequential compressive sensing has received considerable attention recently. While some researchers argue that there are fundamental limits to adaptive sensing that prevents it from outperforming non-adaptive compressive sensing, others have shown that adaptive sensing of sparse signals may help speed up applications such as target ...
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Radar target recognition using compressive backscatter

2017 IEEE International Symposium on Antennas and Propagation & USNC/URSI National Radio Science Meeting, 2017
This paper compares various approaches to target classification either using frequency-domain data recorded via stepped-frequency radar with compressive measurements, or using ultra-wideband radar data in the time-domain with compressive measurements. Real radar backscatter of commercial aircraft models is used in this study.
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