摘要
提出了一种基于分数阶傅里叶变换的多分量微弱LFM信号的检测方法。首先利用分数阶Fourier域的LMS自适应滤波算法,改善了LMS算法对LFM信号的处理效果。在此基础上,提出了分数阶Fourier域的自适应谱线增强器(ALE)算法,提高了对多分量微弱LFM信号的检测性能,并将分数阶Fourier变换的移动算法应用于谱线增强器,减少了运算量。
This paper presents a new method for the detection of multi-component weak LFM signal based on the fractional Fourier transform.Firstly,an adaptive LMS algorithm based on fractional Fourier transform,which could improve the processing of LFM signal,was proposed.Then,an adaptive linear enhancer in fractional domain that could provide better performance of multi-component weak signal detection was derived.As for the calculation of discrete fractional Fourier transform, running algorithm was used for reduced complexity.
出处
《南京邮电大学学报（自然科学版）》
EI
2007年第5期29-33,共5页
Journal of Nanjing University of Posts and Telecommunications：Natural Science Edition
