基于分数阶Fourier变换累积量的目标检测算法

传统的信号检测和噪声分离方法只限于在时域或是频域进行,如果信号和背景噪声有很强的时频耦合,就难以在时频域得到好的检测结果。对此提出了分数阶Fourier变换累积量算法,该算法具有解除时频耦合和抑制噪声的特性,当选择合适的旋转角度使之与处理信号相匹配,就可以在分数阶Fourier域获得较好的检测结果。仿真结果表明,分数阶Fourier累积量算法的检测性能优于分数阶Fourier变换和4阶累积量算法,展现了分数阶Fourier变换累积量算法有优越的信号处理性能。

Target Detection Algorithm Based on Fractional Fourier Transform Cumulant

Conventional signal detection and noise separation methods are limited in time domain or frequency domain,and satisfactory detection result is hard to be obtained in time-frequency domain if intensive time-frequency coupling occurs between signal and background noise.Therefore,a fractional Fourier transform(FrFT) cumulant algorithm is presented for solving this problem.The algorithm can get rid of the time-frequency coupling and reduce the noise.Per-fect detection result would be achieved in fractional Four...