Abstract: With the wide application of complex modulated compression radar signal, traditional identification method can’t satisfy the need of modern electronical reconnaissance. Aiming at this problem, an identification method based on the Generalized Time-Frequency Representation of Zhao, Atlas and Marks（ZAM-GTFR） and Radon transform is put forward. After carry out ZAM-GTFR and Radon transform on signal, this method makes use of the optimal rotational angle and number of summits to identify signal. This method can identify many kinds of complex modulated compression radar signals, including sinusoid frequency modulated signal and poly-phase modulated signal. Simulation results verify that correct identification ratio of this method can reach 94% when signal-to-noise ration is[-3 dB].

Key words: Generalized Time-Frequency Representation of Zhao, Atlas and Marks（ZAM-GTFR）, Radon transform, complex modulation, radar signal identification

摘要： 如今，脉压雷达采用的脉内调制形式日益增多且越来越复杂。而传统的识别方法只能识别有限的几种简单调制样式的雷达信号。为了解决这个问题，提出一种基于ZAM-GTFR法和Radon变换的分类方法。该方法通过对信号进行ZAM-GTFR分析以及Radon变换提取最佳旋转角和满足一定条件的尖峰数，将信号区分开，能识别包括正弦调频信号和多相编码信号等在内的多种具有复杂调制形式的脉压雷达信号。仿真实验表明，该方法在[-3 dB]时能达到94%的平均正确识别率。

关键词: ZAM-GTFR方法, Radon变换, 复杂调制形式, 雷达信号识别