LPI Waveform Recognition Using Adaptive Feature Construction and Convolutional Neural Networks
Author:
Affiliation:
1. Intelligent Fusion Technology, Inc., Germantown, MD, USA
2. Air Force Research Laboratory, Arlington, VA, USA
3. Air Force Research Laboratory, Kirtland AFB, NM, USA
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Space and Planetary Science,Aerospace Engineering
Link
http://xplorestaging.ieee.org/ielx7/62/10094221/10024354.pdf?arnumber=10024354
Reference27 articles.
1. LPI Radar Waveform Recognition Based on Features from Multiple Images
2. Wavelet Cyclic Feature Based Automatic Modulation Recognition Using Nonuniform Compressive Samples
3. Time-chirp Distribution for Detection and Estimation of LPI Radar Signals
4. A detection algorithm of LPI radar signals
5. Using wavelet packets to analyze FM LPI radar signals
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2. WaveNet: Toward Waveform Classification in Integrated Radar–Communication Systems With Improved Accuracy and Reduced Complexity;IEEE Internet of Things Journal;2024-07-15
3. An open‐set method for automatic recognition of low probability of intercept radar waveforms based on reciprocity points learning;International Journal of Numerical Modelling: Electronic Networks, Devices and Fields;2024-05
4. Open‐set recognition of LPI radar signals based on a slightly convolutional neural network and support vector data description;International Journal of Numerical Modelling: Electronic Networks, Devices and Fields;2024-01-22
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