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一种基于分数阶Fourier变换的雷达运动目标检测算法
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摘要:
针对雷达回波为多分量LFM信号时,时频分析存在的交叉项干扰问题,提出了一种基于分数阶Fourier变换(Fractional Fourier Transform,FRFT)的伪Wigner分布(PWD).该方法通过在参数平面按阈值进行峰值搜索确定变换域阶次,再在相应的分数阶Fourier域计算PWD,有效地抑制了交叉项的干扰,有利于更好地提取信号的时频信息.仿真实验证明了在强背景噪声下该算法的有效性.
关键词:  运动目标检测  时频分析  分数阶Fourier变换  伪Wigner分布
DOI:10.3969/j.issn.1001-893X.
Received:January 01, 2007Revised:April 25, 2007
基金项目:
A Moving Targets Detection Algorithm Based on Fractional Fourier Transform (FRFT)
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Abstract:
In order to eliminate the interference of cross-terms during time-frequency analysis on multicomponent LFM signals,a new PWD(peudo Wigner distribution)in fractional Fourier transform(FRFT)domain is proposed.After 2-dimensional search on parameter plane,the transformation orders are determined.Then,PWD in corrsponding FRFT domain is calculated.The interference of cross-terms is effectively eliminated.Simulation results prove that it is effective with low signal-to-noise ratio(SNR).
Key words:  moving targets detection(MTD),time-frequency analysis,fractional Fourier transform(FRFT),PWD