%0 Journal Article %T Detection and Estimation of Multi-component LFM Signals Based on Gauss Short-Time Fractional Fourier Transform
基于高斯短时分数阶傅里叶变换的多分量LFM信号检测与参数估计 %A Li Jia-qiang %A Jin Rong-hong %A Geng Jun-ping %A Fan Yu %A Mao Wei %A
李家强 %A 金荣洪 %A 耿军平 %A 范瑜 %A 毛炜 %J 电子与信息学报 %D 2007 %I %X Based on fractional wave packet transform, a new hybrid time-frequency transform: Gauss Short-time Fractional Fourier Transform (GSFrFT) is proposed for the detection and estimation of Linear Frequency-Modulated (LFM) signals. Multiple LFM signals can be detected in low SNR by choosing the rotated angle and cross-items can be avoided. Analytical expression of the transform result is given. The simulation results also show that the GSFrFT is valid. %K Linear Frequency-Modulated(LFM)signal %K Fractional Fourier transform %K Signal detection %K Parameter estimation
线性调频信号 %K 分数阶傅里叶变换 %K 信号检测 %K 参数估计 %U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=EFC0377B03BD8D0EF4BBB548AC5F739A&aid=214E3B09197DBF89&yid=A732AF04DDA03BB3&vid=771469D9D58C34FF&iid=38B194292C032A66&sid=18F040DBCB74FFF9&eid=03EE8EDD44A3D4BE&journal_id=1009-5896&journal_name=电子与信息学报&referenced_num=0&reference_num=15