Analysis of nonlinear FM signals by pattern recognition of their time-frequency representation

被引：67

作者：

Barbarossa, S ^{[1
]}

Lemoine, O ^{[1
]}

机构：

[1] CNRS,URA 1396,LAHB 13S,F-06560 VALBONNE,FRANCE

来源：

IEEE SIGNAL PROCESSING LETTERS | 1996年 / 3卷 / 04期

关键词：

D O I：

10.1109/97.489064

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：

The aim of this work is to propose a method for detection and parameter estimation of nonlinear FM signals, mono- or multicomponent, embedded in white Gaussian noise. The proposed approach consists in mapping the signal into the time-frequency plane hy a time-frequency distribution with reassignment, and then in applying a pattern recognition technique, like the Hough transform, to the time-frequency representation to recognize specific shapes. The advantages of this method over the conventional maximum likelihood estimator are 1) a simpler implementation, because it reduces the dimension of the search space and 2) a consistent attenuation of the interference terms between different components of a signal or between signal and noise.

引用

页码：112 / 115

页数：4

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