分数阶Fourier变换的多相码雷达信号分离算法

摘要

利用多相码雷达信号在某个分数阶域内呈现多个间隔相等的冲击这一特性,提出了一种基于分数阶Fourier变换的多相码雷达信号分离算法,首先将混合信号以特定的旋转角作分数阶Fourier变换,然后通过窄带通滤波器抽取多相码雷达信号,去除大量噪声和其他干扰信号,最后再经过分数阶Fourier反变换,恢复出时域的多相码雷达信号.理论分析和仿真实验表明,该算法计算量小,分离效果好,可实现较低信噪比下的多相码雷达信号分离.%By using the characteristics of poly-phase code radar signals that its energy are concentrated in one fractional domain, a separation algorithm of poly-phase code radar signals based on fractional Fourier transform (FrFT) is proposed in this paper. First, a mixed signal is rotated to a certain angle by the FrFT. Then, a narrow band filter is exploited to extract the poly-phase code radar signal and depress most of noise and other signals. Finally, the poly-phase code radar signal is rotated back to the time domain by the inverse FrFT. The theoretical analysis and simulation results demonstrate the validity of the method.