A new method of micro-motion parameters estimation based on cyclic autocorrelation function
A new method of micro-motion parameters estimation based on cyclic autocorrelation function作者机构：Institute of Space Electronics Information Technology National University of Defense Technology Jiangnan Institute of Computing Technology
出 版 物：《Science China(Information Sciences)》 (中国科学:信息科学(英文版))
年 卷 期：2013年第56卷第10期
页 面：21-31页
核心收录：
学科分类：080904[工学-电磁场与微波技术] 0810[工学-信息与通信工程] 0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 081105[工学-导航、制导与控制] 081001[工学-通信与信息系统] 081002[工学-信号与信息处理] 0825[工学-航空宇航科学与技术] 0811[工学-控制科学与工程]
基 金：supported by China National Funds for Distinguished Young Scientists(Grant No.61025006) National Natural Science Foundation of China(Grant No.61072117)
主 题：micro-motion cyclic autocorrelation function sinusoidal frequency modulation signal parameter estimation
摘 要：Signals with sinusoidal frequency modulation(FM)are the general form of micro-Doppler signals in radar echoes from targets with *** paper derives the cyclic autocorrelation function of a sinusoidal FM signal using its cyclostationary characteristics,and estimates the parameters of amplitude,modulation index,micro-motion period and noise power based on cyclic autocorrelation *** estimation method is robust in noise environment when compared with conventional time-frequency analysis ***,the performances of estimation by utilizing the simulation data and darkroom measurement are shown in *** Monte-Carlo simulation results show that the estimator is asymptotically optimal at SNR above6 dB.
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