时频域综合分析的雷达信号识别方法

摘要

针对现有雷达信号分选与识别方法对噪声敏感、适用信号类型有限等问题,提出一种综合应用STFT变换、Hough变换与相位检测的新方法,实现了低信噪比下未知复杂雷达信号的高准确率识别与信号频率及频率调制率的估计.对接收到的信号首先通过短时傅里叶变换(STFT)提取时频信息,并利用霍夫(Hough)变换进行信号的粗分类,再通过相位检测实现信号细分类.仿真实验验证了该方法在低信噪比下依然保证了较高的识别准确率与参数估计准确率.%Current methods of radar signal sorting and recognition are somehow effective besides their sensitivity to noise and limitation to different signal types.Aiming at these problems,a novel method is proposed by using synthesis of STFT,Hough transform and phase detection,which can get the high accuracy recognition results of unknown complex radar signal in low SNR environment as well as the parameter estimation of frequency and slope.Firstly,the information of received signals in time-frequency domain is obtained by STFT,and the coarse classification is made via Hough transform.Then,the fine classification is made by phase detection.Simulation experiment has proved the high accuracy of recognition and parameter estimation even in low SNR environment.