Matches in SemOpenAlex for { <https://semopenalex.org/work/W4220657966> ?p ?o ?g. }
Showing items 1 to 89 of
89
with 100 items per page.
- W4220657966 endingPage "570" @default.
- W4220657966 startingPage "570" @default.
- W4220657966 abstract "The accuracy of low probability of intercept (LPI) radar waveform recognition is an important and challenging problem in electronic warfare. Aiming at the problem of the difficulty in feature extraction and the low recognition rates of the LPI radar signal under a low signal-to-noise ratio, and inspired by the symmetry theory, we propose a new approach for the LPI radar signal recognition method based on a dual-channel convolutional neural network (CNN) and feature fusion. Our new approach contains three main modules: the preprocessing module that converts the LPI radar waveforms into two-dimensional time-frequency images using the Choi–Williams distribution (CWD) transformation and performs image binarization, the feature extraction module that extracts different features obtained from the images, and the recognition module that utilizes a multi-layer perceptron (MLP) network to fuse these features and distinguish the type of LPI radar signals. In the feature extraction module, a two-channel CNN model is proposed that extracts Histogram of Oriented Gradients (HOG) features and deep features from time-frequency images, respectively. Finally, the recognition module recognizes the radar signals using a Softmax classifier based on the fused features from two channels. The experimental results from 12 types of LPI radar signals prove the superiority and robustness of the proposed model. Its overall recognition rate reaches 97% when the signal-to-noise ratio is −6 dB." @default.
- W4220657966 created "2022-04-03" @default.
- W4220657966 creator A5010642871 @default.
- W4220657966 creator A5021594770 @default.
- W4220657966 creator A5030198893 @default.
- W4220657966 creator A5063172035 @default.
- W4220657966 creator A5080255256 @default.
- W4220657966 date "2022-03-14" @default.
- W4220657966 modified "2023-10-03" @default.
- W4220657966 title "LPI Radar Signal Recognition Based on Dual-Channel CNN and Feature Fusion" @default.
- W4220657966 cites W1182702830 @default.
- W4220657966 cites W1986510668 @default.
- W4220657966 cites W2029811110 @default.
- W4220657966 cites W2132134263 @default.
- W4220657966 cites W2141128974 @default.
- W4220657966 cites W2165878107 @default.
- W4220657966 cites W2531162019 @default.
- W4220657966 cites W2586095846 @default.
- W4220657966 cites W2614570116 @default.
- W4220657966 cites W2886334544 @default.
- W4220657966 cites W2935707394 @default.
- W4220657966 cites W2947560542 @default.
- W4220657966 cites W3116583243 @default.
- W4220657966 cites W3158385995 @default.
- W4220657966 cites W3201203371 @default.
- W4220657966 doi "https://doi.org/10.3390/sym14030570" @default.
- W4220657966 hasPublicationYear "2022" @default.
- W4220657966 type Work @default.
- W4220657966 citedByCount "9" @default.
- W4220657966 countsByYear W42206579662022 @default.
- W4220657966 countsByYear W42206579662023 @default.
- W4220657966 crossrefType "journal-article" @default.
- W4220657966 hasAuthorship W4220657966A5010642871 @default.
- W4220657966 hasAuthorship W4220657966A5021594770 @default.
- W4220657966 hasAuthorship W4220657966A5030198893 @default.
- W4220657966 hasAuthorship W4220657966A5063172035 @default.
- W4220657966 hasAuthorship W4220657966A5080255256 @default.
- W4220657966 hasBestOaLocation W42206579661 @default.
- W4220657966 hasConcept C10929652 @default.
- W4220657966 hasConcept C117623542 @default.
- W4220657966 hasConcept C139931591 @default.
- W4220657966 hasConcept C147345108 @default.
- W4220657966 hasConcept C153180895 @default.
- W4220657966 hasConcept C154945302 @default.
- W4220657966 hasConcept C188441871 @default.
- W4220657966 hasConcept C31972630 @default.
- W4220657966 hasConcept C34736171 @default.
- W4220657966 hasConcept C41008148 @default.
- W4220657966 hasConcept C52622490 @default.
- W4220657966 hasConcept C554190296 @default.
- W4220657966 hasConcept C76155785 @default.
- W4220657966 hasConcept C81363708 @default.
- W4220657966 hasConcept C87360688 @default.
- W4220657966 hasConceptScore W4220657966C10929652 @default.
- W4220657966 hasConceptScore W4220657966C117623542 @default.
- W4220657966 hasConceptScore W4220657966C139931591 @default.
- W4220657966 hasConceptScore W4220657966C147345108 @default.
- W4220657966 hasConceptScore W4220657966C153180895 @default.
- W4220657966 hasConceptScore W4220657966C154945302 @default.
- W4220657966 hasConceptScore W4220657966C188441871 @default.
- W4220657966 hasConceptScore W4220657966C31972630 @default.
- W4220657966 hasConceptScore W4220657966C34736171 @default.
- W4220657966 hasConceptScore W4220657966C41008148 @default.
- W4220657966 hasConceptScore W4220657966C52622490 @default.
- W4220657966 hasConceptScore W4220657966C554190296 @default.
- W4220657966 hasConceptScore W4220657966C76155785 @default.
- W4220657966 hasConceptScore W4220657966C81363708 @default.
- W4220657966 hasConceptScore W4220657966C87360688 @default.
- W4220657966 hasFunder F4320338464 @default.
- W4220657966 hasIssue "3" @default.
- W4220657966 hasLocation W42206579661 @default.
- W4220657966 hasOpenAccess W4220657966 @default.
- W4220657966 hasPrimaryLocation W42206579661 @default.
- W4220657966 hasRelatedWork W1964120219 @default.
- W4220657966 hasRelatedWork W2126100045 @default.
- W4220657966 hasRelatedWork W2385132419 @default.
- W4220657966 hasRelatedWork W2391959412 @default.
- W4220657966 hasRelatedWork W2743258233 @default.
- W4220657966 hasRelatedWork W2901620918 @default.
- W4220657966 hasRelatedWork W2977314777 @default.
- W4220657966 hasRelatedWork W3208883981 @default.
- W4220657966 hasRelatedWork W4307834408 @default.
- W4220657966 hasRelatedWork W4320925816 @default.
- W4220657966 hasVolume "14" @default.
- W4220657966 isParatext "false" @default.
- W4220657966 isRetracted "false" @default.
- W4220657966 workType "article" @default.