Abstract
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).
Highlights
Sharp sensing of the frequency spectrum and the signal perimeter and diagnosing any signal used for the future of communications spectrum sensing systems and radars are important and effective
It is found appropriate to explain false reject rate (FRR) and false accept rate (FAR) false as: False Accept Rate (FAR): If, a signal is not a real one, this signal will erroneously be regarded by the system as part of the intended signals
A radar signal is recognized by Choi Willliams Distribution (CWD) picture
Summary
Sharp sensing of the frequency spectrum and the signal perimeter and diagnosing any signal used for the future of communications spectrum sensing systems and radars are important and effective. Jarmo Lunden has made an attempt to deal with this compressed signal along with pattern recognition In these methods, features are extracted from the specified codes, but JARMO LUNDEN did not extract enough number of signals from CWD picture, and most of his features were derived from the spectrum signal. To draw the CWD picture, a method discovered by choi and William can be developed [8] Their method introduces pattern recognition classification techniques to be used for recognizing the received signal. Choi and Williams put forward a method for drawing CWD picture, and suggested that pattern recognition classification methods be used for recognizing their signals.
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