AUTOMATIC RADAR WAVEFORM RECOGNITION BASED ON NEURAL NETWORK

Wenbin Liu, Qing Wang, and Qi Guo

References

  1. [1] J. Lunden and V. Koivunen, Automatic radar waveform recog-nition, IEEE Journal of Selected Topics in Signal Processing,1(1), 2007, 124–136.
  2. [2] C. Wang, J. Wang, and X. Zhang, Automatic radar waveformrecognition based on time-frequency analysis and convolutionalneural network, 2017 IEEE International Conf. on Acoustics,Speech and Signal Processing (ICASSP), New Orleans, LA,2017, 2437–2441.
  3. [3] H. Gao and X.-D. Zhang, Automatic radar waveform recogni-tion using SVM, Applied Mechanics and Materials, 229, 2012,2348–2351.
  4. [4] M. Zhang, M. Diao, and L. Guo, Convolutional neural networksfor automatic cognitive radio waveform recognition, IEEEAccess, 5, 2017, 11074–11082.
  5. [5] R. Mingqiu, C. Jinyan, and Z. Yuanqing, Classification of radarsignals using time-frequency transforms and fuzzy clustering,2010 International Conf. on Microwave and Millimeter WaveTechnology (ICMMT), Chengdu, 2010, 2067–2070.
  6. [6] Z. Yu, C. Chen, and W. Jin, Radar signal automatic classifica-tion based on PCA, 2009 WRI Global Congress on IntelligentSystems, Xiamen, 2009, 216–220.
  7. [7] J. Li and Y. Ying, Radar signal recognition algorithm basedon entropy theory, 2014 2nd International Conf. on Systemsand Informatics (ICSAI), Shanghai, 2014, 718–723.
  8. [8] H. Gao and X.-D. Zhang, Automatic radar waveform recogni-tion using SVM, Applied Mechanics and Materials, 229, 2012,2348–2351.
  9. [9] M. Ren, J. Cai, Y. Zhu, and J. Han, Radar signal featureextraction based on wavelet ridge and high order spectraanalysis, 2009 IET International Radar Conference, Guilin,2009, 1–5.
  10. [10] M. Ren, J. Cai, Y. Zhu, and M. He, Radar emitter signal classi-fication based on mutual information and fuzzy support vectormachines, 2008 9th International Conf. on Signal Processing,Beijing, 2008, 1641–1646.

Important Links:

Go Back