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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 被引量:7

A Moving Targets Detection Algorithm Based on Fractional Fourier Transform (FRFT)
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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。 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).
作者 赵兆 是湘全
出处 《电讯技术》 2007年第4期95-98,共4页 Telecommunication Engineering
关键词 运动目标检测 时频分析 分数阶FOURIER变换 伪Wigner分布 moving targets detection ( MTD ) time - frequency analysis fractional Fourier transform ( FRFT) PWD
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