Radar emitter recognition based on rényi entropy of time-frequency distribution
Yonggang Xu · Journal of Circuits and Systems · 2013
To correctly classify advanced radar emitter signals,a novel approach adopting Renyi Entropy of time frequency distribution for radar emitter signal recognition is proposed.Time-frequency distribution of radar emitter signals are obtained by using time-frequency reassignment transform,and then the third-order,seventh-order and eleventh-order Renyi Entropy of time-frequency distribution are used to construct a feature vector which has low dimensions and large between-class difference for radar signal recognition.Finally the support vector machine is used to identify radar emitter signals automatically.Simulation results show that the proposed approach can achieve satisfying accurate recognition over a wide range of SNR scenarios.Even for SNR=-3dB,the accurate recognition rate still achieves 90.75% by using Renyi Entropy of time-frequency distribution.The validity of the approach is demonstrated by experiments.