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

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 para...

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Bibliographic Details
Published in:Science China. Information sciences 2013-10, Vol.56 (10), p.21-31
Main Authors: Niu, Jie, Li, KangLe, Jiang, WeiDong, Li, Xiang, Kuang, GangYao, Zhu, HongYu
Format: Article
Language:English
Subjects:
Asymptotic properties
Autocorrelation functions
Computer Science
Darkrooms
FM信号
Frequency modulation
Information Systems and Communication Service
Monte Carlo simulation
Parameter estimation
Radar echoes
Research Paper
Sine waves
Time-frequency analysis
周期自相关函数
循环平稳特性
循环自相关函数
时频分析方法
蒙特卡罗模拟
运动参数估计
雷达回波信号
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Summary: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.
ISSN:1674-733X
1869-1919
DOI:10.1007/s11432-012-4687-3