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一种新的信号分解算法及其在机动 目标ISAR成像中的应用
引用本文:王勇,姜义成.一种新的信号分解算法及其在机动 目标ISAR成像中的应用[J].电子学报,2007,35(3):445-449.
作者姓名:王勇  姜义成
作者单位:哈尔滨工业大学电子工程技术研究所,黑龙江哈尔滨 150001
摘    要:本文首先提出一种新的信号分解算法——修正自适应Chirplet分解算法,将Chirplet基函数推广到非线性调频信号的形式,克服了传统自适应Chirplet分解对复杂信号逼近程度不高的缺点.然后提出单分量基函数参数估计的一种实用算法和基于CLEAN思想的多分量信号分解方法,并将其应用于机动目标的ISAR成像中,进一步提高了成像质量,外场实测数据成像结果验证了本文方法的有效性.

关 键 词:修正Chirplet分解  非线性调频信号  CLEAN思想  ISAR成像  
文章编号:0372-2112(2007)03-0445-05
收稿时间:2005-11-03
修稿时间:2005-11-032006-04-10

A New Algorithm of Signal Decomposition and Its Application in ISAR Imaging of Maneuvering Targets
WANG-Yong,JIANG Yi-cheng.A New Algorithm of Signal Decomposition and Its Application in ISAR Imaging of Maneuvering Targets[J].Acta Electronica Sinica,2007,35(3):445-449.
Authors:WANG-Yong  JIANG Yi-cheng
Affiliation:Research Institute of Electronic Engineering Technology,Harbin Institute of Technology,Harbin,Heilongjing 150001,China
Abstract:A new algorithm of signal decomposition-Modified Adaptive Chirplet Decomposition(MACD) is presented.The results of traditional Chirplet decomposition are not accurate for a complex signal,and this disadvantage is overcome by extending the Chirplet atoms to nonlinear frequency modulated signal.Then an efficient algorithm of parameters estimation to mono-component elementary function and the decomposition method based on CLEAN technique to multi-component signal is proposed,at last this algorithm is used in ISAR imaging of maneuvering targets,and the quality of ISAR images improves greatly.So the MACD algorithm is valuable in practice,and the results of real data demonstrate the validity of the method proposed.
Keywords:MACD  nonlinear frequency modulated signal  CLEAN technique  ISAR imaging
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