Radar Signal Intra-Pulse Feature Extraction Based on Improved Wavelet Transform Algorithm
- 1 College of Information and Communication Engineering, Harbin Engineering University, Harbin, China
- 2 College of Information and Communication Engineering, Harbin Engineering University, Harbin, China
- 3 College of Information and Communication Engineering, Harbin Engineering University, Harbin, China
Abstract
With the new system radar put into practical use, the characteristics of complex radar signals are changing and developing. The traditional analysis method of one-dimensional transformation domain is no longer applicable to the modern radar signal processing, and it is necessary to seek new methods in the two-dimensional transformation domain. The time-frequency analysis method is the most widely used method in the two-dimensional transformation domain. In this paper, two typical time-frequency analysis methods of short-time Fourier transform and Wigner-Ville distribution are studied by analyzing the time-frequency transform of typical radar reconnaissance linear frequency modulation signal, aiming at the problem of low accuracy and sen-sitivity to the signal noise of common methods, the improved wavelet transform algorithm was proposed.
- Stove, A.G., Hume, A.L. and Baker, C.J. (2004) Low Probability of Intercept Radar Strategies. IEEE Proceedings-Radar, Sonar and Navigation, 151, 249-260. https://doi.org/10.1049/ip-rsn:20041056
- Liu, F., Xu, H. and Tao, R. (2012) Research on Resolution between Mul-ti-Compo- nent LFM Signal in the Fractional Domain. Science China Information Sciences, 55, 1301-1312. https://doi.org/10.1007/s11432-011-4324-6
- Wang, K., Jiang, Q.-X., Liu, F.-Z. and Pan, J.-F. (2017) A Design of Broad Band Multidimensional Radar Signal. Journal of Naval University of Engineering, 29, 35- 40.
- Moraitakis, I. and Fargues, M.P. (2000) Feature Extraction of Intra-Pulse Modulated Signals Using Time-Frequency Analysis. Proceedings of 21st Century Military Com- munications Conference, Los Angeles, 22-25 October 2000, 737-741. https://doi.org/10.1109/MILCOM.2000.904028
- Czerwinski, P.N. (2007) Adaptive Short-Time Fourier Analysis. IEEE Signal Pro- cessing Letters, 4, 42-45. https://doi.org/10.1109/97.554468
- Poyil, A.T. and Nasimudeen, K.M. (2012) Multi Resolution Signal Analysis Using Improved Wigner Ville Distribution. 2012 International Conference on Communica-tion, Information & Computing Technology (ICCICT), Mumbai, 19-20 October 2012, 1-4. https://doi.org/10.1109/ICCICT.2012.6398197
- Ji, Z.H. and Yan, S.G. (2016) Improved Morlet Wavelet and Its Com-plete Transform. Computer Engineering and Applications, 52, 12-18.
- Yang, H.F. and He, Z.R. (2016) Time-Frequency Analysis in Radar Signal Recognition. Electronic Sci. & Tech, 29, 58-61.
- Zhang, X.R. and Xie, H. (2013) A Novel Method Based on Time-Frequency Atom for Complex Modulated Radar Signal Sorting in Low SNR Condition. Applied Science and Technology, 40, 51-57.
- Kwok, H.K. and Jones, D.L. (2000) Improved Instantaneous Frequency Estimation Using an Adaptive Short-Time Fourier Transform. IEEE Transactions on Signal Processing, 48, 2964-2972. https://doi.org/10.1109/78.869059
- Khalil, N.H. (2007) Wavelet Analysis of Instantaneous Correlations with Appli-cation to Frequency Hopped Signals. Naval Postgraduate School, Monterey.
- Wei, K.-Y., Feng, L., Lin, X. and Liu, H.-J. (2017) Sorting Method of Radar Pulse Signal Based on Wavelet Analysis. Information Technology, 2017, 29-31.