Radar Signal Recognition by CWD Picture Features


In this paper a system for automatic recognition of radar waveform is introduced. This technique is used in many spectrum management, surveillance, and cognitive radio and radar applications. For instance the transmitted radar signal is coded into six codes based on pulse compression waveform such as linear frequency modulation (LFM), Frank code, P1, P2, P3 and P4 codes, the latter four are poly phase codes. The classification system is based on drawing Choi Willliams Distribution (CWD) picture and extracting features from it. In this study, various new types of features are extracted from CWD picture and then a pattern recognition method is used to recognize the spectrum. In fact, signals from CWD picture are defined using biometric techniques. We also employ false reject rate (FRR) and false accept rate (FAR) which are two types of fault measurement criteria that are deploy in biometric papers. Fairly good results are obtained for recognition of Signal to Noise Ratio (-11 dB).

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E. Tahbaz Tavakoli and A. Falahati, "Radar Signal Recognition by CWD Picture Features," International Journal of Communications, Network and System Sciences, Vol. 5 No. 4, 2012, pp. 238-242. doi: 10.4236/ijcns.2012.54031.

Conflicts of Interest

The authors declare no conflicts of interest.


[1] J. Lundén, “Automatic Radar Waveform Recognition,” IEEE Journal of Selected Topics in Signal Processing, Vol. 1, No. 1, 2007, pp. 124-136. doi:10.1109/JSTSP.2007.897055
[2] G. López-Risueno, J. Grajal and O. Yeste-Ojeda, “Atomic Decomposition-Based Radar Complex Signal Interception,” Proceedings of Institution of Electrical Engineers, Radar, Sonar and Navigation, Vol. 150, No. 4, 2003, pp. 323-331.
[3] G. López-Risueno and J. Grajal, “Multiple Signal Detection and Estimation Using Atomic Decomposition and EM,” IEEE Transactions on Aerospace and Electronic System, Vol. 42, No. 1, 2006, pp. 84-102. doi:10.1109/TAES.2006.1603407.
[4] G. López-Risueno, J. Grajal and á. Sanz-Osorio, “Digital Channelized Receiver Based on Time-Frequency Analysis for Signal Interception,” IEEE Transactions on Aerospace and Electronic System, Vol. 41, No. 3, 2005, pp. 879-898. doi:10.1109/TAES.2005.1541437
[5] P. E. Pace, “Detecting and Classifying Low Probability of Intercept Radar,” 2nd Edition, Artech House, Norwood, 2004.
[6] M. Skolnik “Radar Handbook,” 3rd Edition, McGraw-Hill, Boston, 1990.
[7] B. L. Lewis, F. F. Kretschmer Jr. and W. W. Shelton, “Aspects of Radar Signal Processing,” Artech House, Norwood, 1986.
[8] H.-I. Choi and W. J. Williams, “Improved Time-Frequency Representation of Multicomponent Signals Using Exponential Kernels,” IEEE Transactions on Acoustics, Speech and Signal Processing, Vol. 37, No. 6, 1989, pp. 862-871.
[9] A. G. Prasad and V. M. Amaresh, “An Offline Signature Verification System,” IEEE International Conference on Signal and Image Processing Applications, Hubli, 7-9 November 2009, pp. 59-64. doi:10.1109/ICPAIR.2011.5976912.
[10] I. Barbantan, C. Vidrighin and R. Borca, “An Offline System for Handwritten Signature Recognition,” IEEE 5th International Conference on Intelligent Computer Communication and Processing, Cluj-Napoca, 27-29 August 2009, pp. 3-10 doi:10.1109/ICCP.2009.5284793
[11] Y. C. Feng and P. C. Yuen “A Hybrid Approach for Generating Secure and Discriminating Face Template” IEEE Transactions on Information Forensics and Security, Vol. 5, No. 1, 2010, pp. 103-107. doi:10.1109/TIFS.2009.2038760
[12] N. Dowson and O. Salvado, “Hashed Nonlocal Means for Rapid Image Filtering,” IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 33, No. 3, 2011, pp. 485-499. doi:10.1109/TPAMI.2010.114
[13] R. O. Duda, P. E. Hart and D. G. Stork, “Pattern Classification,” 2nd Edition, McGraw-Hill, Boston, 2001.
[14] R. C. Gonzalez and R. E. Woods, “Digital Image Processing,” Prentice-Hall, Saddle River, 2002.
[15] N. Kwak and C.-H. Choi, “Input Feature Selection by Mutual Information Based on Parzen Windows,” IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 24, No. 12, 2002, pp. 1667-1671. doi:10.1109/TPAMI.2002.1114861

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