[1] [1] PACE P E.Detecting and classifying low probability of intercept radar［M］.2nd ed.Norwood:Artech House,2009.

[4] [4] XU C C,ZHANG J Y,ZHOU Q S,et al.Recognition of radar signals based on AF grids and geometric shape constraint［J］.Signal Processing,2019,157:30-44.

[10] [10] PASCAL V,LAROCHELLE H,BENGIO Y,et al.Extracting and composing robust features with denoising autoencoders［C］//Proceedings of the 25th International Conference on Machine Learning (ICML08).New York: ACM, 2008:1096-1103.

[11] [11] VINCENT P,LAROCHELLE H,LAJOIE I,et al.Stacked denoising autoencoders:learning useful representations in a deep network with a local denoising criterion［J］.Journal of Machine Learning Research,2010,11(12):3371-3408.

[12] [12] LIN C J,CHANG C C.LIBSVM:a library for support vector machines［J］.ACM Transactions on Intelligent Systems and Technology,2007,2(3):1-27.

[13] [13] GUO Q,YU X,RUAN G Q.LPI radar waveform recognition based on deep convolutional neural network transfer learning［J］.Symmetry,2019,11(4):540.

[14] [14] ZHANG M,DIAO M,GUO L M.Convolutional neural networks for automatic cognitive radio waveform recognition［J］.IEEE Access,2017,5:11074-11082.