A New Feature Extraction Method for Radar PRI Modulation
Chunlei Wang · Modern Radar · 2009
Aiming at the problem of radar PRI pattern recognition,a new feature extraction algorithm based on the S_p vector curves is proposed.According to the characteristics of 4 typical pulse train patterns,Haar transform is used to extract the frequency features from radar signals.The features constitute some two-dimensional vectors,which are used to identify the pulse repetition interval modulation of radar transmitter signals automatically.The simulation results show that when the vector dimensions are lowered, the extracted feature vector decreases the complexity of the classifier while maintaining the feasibility and efficiency of PRI pattern recognition.