基于FRFT的雷达微弱目标信号检测算法

摘要

According to the problem of radar echo detection in the low signal-to-noise rate,an improved detection algorithm of fractional Fourier transform detect signal after echo pretreatment is proposed.That is the AR filter is used to suppress the clutter and noise is removed by wavelet transform.Because of the low detection performance of fractional Fourier transform in the low signal-to-noise rate,echo signal is preprocessing and improves signal-to-noise rate.Then fractional Fourier transform detected the target preferably.Fractional Fourier transform has special accumulating quality for LFM signal.The results of the simulations show that corresponding algorithm proposed in this article is superior to the fractional Fourier transform algorithm.%针对低信噪比下雷达目标回波检测的问题,提出对回波预处理后接分数阶傅里叶变换的检测方法.预处理为AR滤波器抑制杂波并用小波去噪.由于低信噪比下分数阶傅里叶变换检测性能低,对回波做预处理提高回波信噪比.再运用分数阶Fourier变换对LFM信号的聚敛性质检测.仿真结果表明,文中提出算法检测性能优于直接进行分数阶傅里叶变换.