A new method of micro-motion parameters estimation based on cyclic autocorrelation function  

作　　者：NIU Jie LI KangLe JIANG WeiDong LI Xiang KUANG GangYao ZHU HongYu 

机构地区：[1]Institute of Space Electronics Information Technology, National University of Defense Technology [2]Jiangnan Institute of Computing Technology

出　　处：《Science China(Information Sciences)》2013年第10期21-31,共11页中国科学（信息科学）（英文版）

基　　金：supported by China National Funds for Distinguished Young Scientists(Grant No.61025006);National Natural Science Foundation of China(Grant No.61072117)

摘　　要：Abstract Signals with sinusoidal frequency modulation （FM） are the general form of micro-Doppler signals in radar echoes from targets with micro-motions. This 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 function. The estimation method is robust in noise environment when compared with conventional time-frequency analysis methods. Finally, the performances of estimation by utilizing the simulation data and darkroom measurement are shown in tables. The Monte-Carlo simulation results show that the estimator is asymptotically optimal at SNR above -6 dB.Abstract Signals with sinusoidal frequency modulation （FM） are the general form of micro-Doppler signals in radar echoes from targets with micro-motions. This 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 function. The estimation method is robust in noise environment when compared with conventional time-frequency analysis methods. Finally, the performances of estimation by utilizing the simulation data and darkroom measurement are shown in tables. The Monte-Carlo simulation results show that the estimator is asymptotically optimal at SNR above -6 dB.

关 键 词：MICRO-MOTION cyclic autocorrelation function sinusoidal frequency modulation signal PARAMETERESTIMATION 

分 类 号：TN957.51[电子电信—信号与信息处理] U213.2[电子电信—信息与通信工程]