Abstract：This paper mainly studies the extended self-similarity of sea clutter frequency spectrum and the application of multi-scale Hurst exponent to target detection within sea clutter.As a generalization of the fractional Brownian motion,the extended self-similar process uses the multi-scale Hurst exponent to describe fractal signals.The multi-scale Hurst exponent can characterize the details of fractal signals in different scales,which makes up for the deficiency of the mono-Hurst exponent that can only describe the whole roughness of fractal signals.Based on real radar data,this paper first studies the extended self-similarity of real sea clutter frequency spectrum and the influencing parameters.Then,the characteristic that the multi-scale Hurst exponent in the optimal frequency scale is relatively sensitive to the target is utilized for designing CFAR detection algorithm for target detection within sea clutter.The analytic results of real data show that the multi-scale Hurst exponent of sea clutter frequency spectrum performs better in separating target from sea clutter than the mono-Hurst exponent and the multi-scale Hurst exponent in time domain.Additionally,because Fourier transform can promote the signal-to-clutter ratio effectively,the proposed detection method has the potential for detecting weak moving targets within sea clutter.
刘宁波, 关键, 黄勇, 何友. 基于频域多尺度Hurst指数的海杂波中目标检测方法[J]. 电子学报, 2013, 41(3): 424-431.
LIU Ning-bo, GUAN Jian, HUANG Yong, HE You. Target Detection Within Sea Clutter Based on Multi-Scale Hurst Exponent in Frequency Domain. Chinese Journal of Electronics, 2013, 41(3): 424-431.
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