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中文摘要：
为了提高雷达辐射源信号的正确识别率以满足现代电子对抗的需求,该文提出了一种新的雷达辐射源信号识别方法。在过完备多尺度Spectrum原子库基础上,采用匹配追踪（MP）方法对信号进行原子分解,并通过FFT降低MP搜索过程的时间复杂性,在此基础上,对本征Spectrum原子参数进行有效降维,提取具有分类意义的原子特征向量,同步实现信号的自动分类和参数估计。实验结果表明,该方法在低信噪比环境下不仅可以获得高的信号类别正确识别率,同时具有准确的参数估计结果,证实了所提出方法的有效性。
英文摘要：
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.
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