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.
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.
出处
《电子学报》
EI
CAS
CSCD
北大核心
2007年第3期445-449,共5页
Acta Electronica Sinica
基金
哈工大科学研究基金资助项目(No.2001.66)
