首页 | 本学科首页   官方微博 | 高级检索  
     

多分量微弱LFM信号的检测
引用本文:陈凡,齐林,朱亚琼. 多分量微弱LFM信号的检测[J]. 南京邮电大学学报(自然科学版), 2007, 27(5): 29-33
作者姓名:陈凡  齐林  朱亚琼
作者单位:南京邮电大学,继续教育学院,江苏,南京,210003;郑州大学,信息工程学院,河南,郑州,450001
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.

关 键 词:分数阶Fourier变换  多分量微弱LFM信号  LMS自适应算法
文章编号:1673-5439(2007)05-0029-05
收稿时间:2006-12-15
修稿时间:2007-04-10

Detection of Weak Multi-Component LFM Signal Based on the Fractional Fourier Transform
CHEN Fan,QI Lin,ZHU Ya-qiong. Detection of Weak Multi-Component LFM Signal Based on the Fractional Fourier Transform[J]. JJournal of Nanjing University of Posts and Telecommunications, 2007, 27(5): 29-33
Authors:CHEN Fan  QI Lin  ZHU Ya-qiong
Affiliation:1.College of Continous Education,Nanjing University of Posts and Telecommunications,Nanjing 210003,China;2.College of Information Engineering,Zhengzhou University,Zhengzhou 450001,China
Abstract: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.
Keywords:Fractional fourier transform  Multi-component weak LFM signal  Adaptive LMS algorithm
本文献已被 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号