A novel method for radar emitter signals recognition based on Spectrum atoms

To enhance accurate recognition rate of radar emitter signals to meet the requirements of modern electronic warfare, a novel method for radar emitter signals recognition is presented in this paper. Based on the over-complete multiscale dictionary of Spectrum atoms, the signal are decomposed into a linear expansion of atoms by the method of Matching Pursuit(MP), and FFT is applied to effectively reduce the time-complexity at each step of MP. Then the atoms characteristics vector can be achieved to identify radar emitter signals automatically and estimate the signal parameters synchronously. Experiment results show that the method can achieve high accurate recognition rate and valid parameters estimation in the circumstance of lower SNR, which confirms the properties of the proposed approach.