Target Detection Within Sea Clutter Based on Multi-Scale Hurst Exponent in Frequency Domain
Target Detection Within Sea Clutter Based on Multi-Scale Hurst Exponent in Frequency Domain
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发表时间：
2013
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He You
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作者：
He You
主要研究了海杂波频谱的扩展自相似性和多尺度Hurst指数在海杂波目标检测中的应用，作为分数布朗运动的推广，扩展自相似过程采用多尺度Hurst指数来描述分形信号，多尺度Hurst指数可以刻画分形信号在不同尺度上的细节，基于真实的雷达数据，首先研究了真实的海杂波频谱的扩展自相似性及其影响参数，的特点，多，利用最佳频率尺度中尺度Hurst指数对目标相对敏感的特性，设计了海杂波背景下目标检测的恒虚警检测算法，分析结果表明：对真实的数据的分析表明，海杂波频谱的多尺度Hurst指数比时域的单尺度Hurst指数和多尺度Hurst指数更能有效地将目标从海杂波中分离出来，同时，由于傅立叶变换能有效地提高信杂比，该检测方法具有检测海杂波中弱小运动目标的潜力。
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.