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

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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.

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Authors and Affiliations

  1. Institute of Space Electronics Information Technology, National University of Defense Technology, Changsha, 410073, China

    Jie Niu, KangLe Li, WeiDong Jiang, Xiang Li & GangYao Kuang

  2. Jiangnan Institute of Computing Technology, Wuxi, 214083, China

    Jie Niu & HongYu Zhu

Authors
  1. Jie Niu
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  2. KangLe Li
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  3. WeiDong Jiang
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  4. Xiang Li
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  5. GangYao Kuang
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  6. HongYu Zhu
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Correspondence to Jie Niu.

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Niu, J., Li, K., Jiang, W. et al. A new method of micro-motion parameters estimation based on cyclic autocorrelation function. Sci. China Inf. Sci. 56, 1–11 (2013). https://doi.org/10.1007/s11432-012-4687-3

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  • DOI: https://doi.org/10.1007/s11432-012-4687-3

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