Results 211 to 220 of about 457 (225)
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A novel and efficient approach for automatic classification of radar emitter signals
2013 IEEE Aerospace Conference, 2013Radar emitter signal identification is a special issue of data clustering for classifying unknown radar emitters. In this paper, an efficient approach for automatic classification of radar emitter signals in multisensor systems is proposed. The proposed approach exploits measured features extracted from multiple sensors as well as the sensor accuracies
Ashraf M Aziz
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2007 International Conference on Wavelet Analysis and Pattern Recognition, 2007
Abstract In this paper, a novel approach based on QTFDs and kernel principle component analysis (KPCA) is proposed to extract features of radar emitter signals. Then, these discriminative and low dimensional features achieved were fed to a Support Vector Machines (SVMs) based on FCM (fuzzy c-means) clustering for multi-class pattern recognition ...
null Ming-Qiu Ren +3 more
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Abstract In this paper, a novel approach based on QTFDs and kernel principle component analysis (KPCA) is proposed to extract features of radar emitter signals. Then, these discriminative and low dimensional features achieved were fed to a Support Vector Machines (SVMs) based on FCM (fuzzy c-means) clustering for multi-class pattern recognition ...
null Ming-Qiu Ren +3 more
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Online Non-Cooperative Radar Emitter Classification From Evolving and Imbalanced Pulse Streams [PDF]
IEEE Sensors Journal, 2020 Recent research treats radar emitter classification (REC) problems as typical closed-set classification problems, i.e., assuming all radar emitters are cooperative and their pulses can be pre-obtained for training the classifiers.
Jinping Sui, Zhen Liu, Bo Peng
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Journal of Ambient Intelligence and Humanized Computing, 2021
A novel feature extraction method based on the energy cumulant of Choi-Williams distribution has been proposed, which copes with the complex electromagnetic environment and varied signal styles. The energy cumulant of Choi-Williams distribution has been calculated from the accumulations of each frequency sample value with different time samples ...
Pengyu Dong +6 more
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A novel feature extraction method based on the energy cumulant of Choi-Williams distribution has been proposed, which copes with the complex electromagnetic environment and varied signal styles. The energy cumulant of Choi-Williams distribution has been calculated from the accumulations of each frequency sample value with different time samples ...
Pengyu Dong +6 more
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Classification of radar emitter signals based on the feature of time-frequency atoms
2007 International Conference on Wavelet Analysis and Pattern Recognition, 2007An effective approach based on the feature of time-frequency atoms for classification of the radar emitter signals is presented. Firstly, we introduce a fast matching pursuit (MP) algorithm, which using improved quantum genetic algorithm (IQGA) to reduce the time-complexity at each step of standard MP, to decompose the signal into a linear expansion of
Ming Zhu +3 more
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2006 8th international Conference on Signal Processing, 2006
An effective approach to classify the radar emitter signals is presented, which is based on a cascade feature extractions and a hierarchical decision technique. Firstly, the instantaneous autocorrelation, improved by non-ambiguity phase expansion and moving average, is used to extract the primary instantaneous frequencies of radar signals.
Yunwei Pu +3 more
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An effective approach to classify the radar emitter signals is presented, which is based on a cascade feature extractions and a hierarchical decision technique. Firstly, the instantaneous autocorrelation, improved by non-ambiguity phase expansion and moving average, is used to extract the primary instantaneous frequencies of radar signals.
Yunwei Pu +3 more
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Research on radar emitter signal classification technology based on SqueezeNet lightweight network
Third International Conference on Signal Image Processing and Communication (ICSIPC 2023), 2023Hu Jiang +7 more
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A Novel Aggregated Multipath Extreme Gradient Boosting Approach for Radar Emitter Classification
IEEE Transactions on Industrial Electronics, 2022Shiqiang Zhao +2 more
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Online clustering algorithms for radar emitter classification
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2005Zhi-Quan Luo, K M Wong
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Radar Emitter Classification With Attention-Based Multi-RNNs
IEEE Communications Letters, 2020Xueqiong Li +2 more
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