Detection and parameter estimation of LFM signal using integration of fractional Gaussian window transform

被引：1

作者：

Li, Jiaqiang ^{[1
]}

Jin, Ronghong ^{[1
]}

Geng, JunPing ^{[1
]}

Fan, Yu ^{[1
]}

Mao, Wei ^{[1
]}

机构：

[1] Shanghai Jiao Tong Univ, Sch Elect Informat & Elect Engn, Dept Elect Engn, Shanghai 200240, Peoples R China

来源：

IEICE TRANSACTIONS ON COMMUNICATIONS | 2007年 / E90B卷 / 03期

关键词：

linear FM signal; fractional Fourier transform; signal-to-noise ratios; parameter estimation;

D O I：

10.1093/ietcom/e90-b.3.630

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

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.

引用

页码：630 / 635

页数：6

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