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一种新的LFM信号检测算法仿真分析
引用本文:WU Tao,袁嗣杰,CHEN Jin-jun,李伟.一种新的LFM信号检测算法仿真分析[J].系统仿真学报,2008,20(9):2395-2398.
作者姓名:WU Tao  袁嗣杰  CHEN Jin-jun  李伟
作者单位:装备指挥技术学院光电装备系,北京,101416
摘    要:关于线性调频信号的检测,目前的一个主要研究方向是先对信号进行时频分析,获取信号的时频分布特征,然后对时频平面采用Radon变换,投影到Radon变换空间进行峰值检测,以实现线性调频信号的检测。在此基础上,提出了一种新的时频分布积累检测算法。该算法联合运用多种窗长的傅立叶变换分析和Radon变换二值积累,有效的利用了信号能量,通过多层积累处理,取得了较好的效果。通过详细的仿真分析,验证了该算法的有效性,并明确了算法应用中应当注意的问题,具有一定的参考价值。

关 键 词:线性调频  多窗傅立叶变换  时频分布  Radon变换  二值积累  信号检测

Simulation Analysis of New Algorithm for LFM Signal Detection
WU Tao,YUAN Si-jie,CHEN Jin-jun,LI wei.Simulation Analysis of New Algorithm for LFM Signal Detection[J].Journal of System Simulation,2008,20(9):2395-2398.
Authors:WU Tao  YUAN Si-jie  CHEN Jin-jun  LI wei
Abstract:One of the primary research direction for LFM signal detection is to analyze the signal through the time-frequency analysis to get the distribution characteristics firstly, and then transform the time-frequency plane to the Radon transform parameter space, where LFM signal detection is realized by detecting the peak value. On the basis of this, a new detection algorithm around time-frequency distribution and accumulation was proposed, which combined the multi-window Fourier transform and binary integration in Radon transform parameter space. This method could utilize the signal energy effectively and acquire better performance. The simulation results verify the availability and high practicable value of the algorithm.
Keywords:LFM  multi-window Fourier transform  time-frequency distribution  Radon transform  binary integration  signal detection
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