Detection and Parameter Estimation of LFM Signal Using Integration of Fractional Gaussian Window Transform(Sensing)
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概要
- 論文の詳細を見る
In this paper, Integration of Fractional Gaussian Window transform (IFRGWT) is proposed for the parameter estimation of linear FM (LFM) signal; the proposal is based on the integration of the Fractional Fourier transform modified by Gaussian Window. The peak values can be detected by adjusting the standard deviation of Gaussian function and locating the optimal rotated angles. And also the parameters of the signal can be estimated well. As an application, detection and parameter estimation of multiple LFM signals are investigated in low signal-to-noise ratios (SNRs). The analytic results and simulations clearly demonstrate that the method is effective.
- 社団法人電子情報通信学会の論文
- 2007-03-01
著者
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FAN Yu
Department of Biochemistry & Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy
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Fan Yu
Department Of Electronic Engineering School Of Electronic Information And Electrical Engineering Sha
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Geng Junping
Department Of Electronic Engineering School Of Electronic Information And Electrical Engineering Sha
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Jin Ronghong
Department Of Electronic Engineering School Of Electronic Information And Electrical Engineering Sha
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LI Jiaqiang
Department of Electronic Engineering, School of Electronic, Information and Electrical Engineering,
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MAO Wei
Department of Electronic Engineering, School of Electronic, Information and Electrical Engineering,
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Mao Wei
Department Of Electronic Engineering School Of Electronic Information And Electrical Engineering Sha
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Li Jiaqiang
Department Of Electronic Engineering School Of Electronic Information And Electrical Engineering Sha
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