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海杂波FRFT谱的多重分形特性与目标检测 被引量:7

Multifractal Property of Sea Clutter FRFT Spectrum for Target Detection
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摘要 本文主要研究海杂波在分数阶傅里叶变换(FRFT)域所表现出的多重分形特性及其在海杂波目标检测中的应用。由FRFT数学定义的尺度性质可推得,自相似过程在某一变换阶数下的FRFT谱在各尺度下不具有统一的自相似特性。针对这一特性,本文将多重分形理论引入到对海杂波FRFT谱的自相似结构分析中并研究FRFT域多重分形参数的影响因素,经S波段和C波段雷达实测数据验证表明,海杂波FRFT谱具有多重分形特性且FRFT域广义Hurst指数对海杂波和目标具有良好的区分能力。在此基础上,本文利用FRFT域广义Hurst指数与双参数恒虚警检测器相结合设计海杂波中目标检测方法并分析检测性能,结果表明本文所提方法相比于经典的时域分形检测方法具有较明显地性能提升。 The paper mainly studies the multifractal property of sea clutter in the fractional Fourier transform (FRFF) do- main and its application to target detection within sea clutter. According to the scale property of the mathematical definition of FRFT, the FRFT spectrum of a self-similar process in some transform order does not have uniform self-similarity at each scale. In the light of this characteristic, the multifractal theory is introduced to analyze the self-similar structure of the sea clutter FRFT spectrum and the influencing factors of the multifractal parameters in FRFF domain are studied as well. By the verification of S-band and C-hand radar data, it' s shown that thc sea clutter FRFF spectrum is multifractal and the general- ized Hurst exponent in FRFF domain has the ability of distinguishing target from sea clutter. Based on this, the generalized Hurst exponent in FRFT domain and the bi-parameter constant-false-alarm-rate detector are combined to design target detec- ting method in sea clutter and the performance is analyzed as well. The results show that the proposed method performs much better than the classic fractal detecting methods in time domain.
出处 《信号处理》 CSCD 北大核心 2013年第1期1-9,共9页 Journal of Signal Processing
基金 国家自然科学基金(61179017 61201445) "泰山学者"建设工程专项经费
关键词 雷达 海杂波 分数阶傅里叶变换谱 多重分形 目标检测 Radar Sea clutter Fractional Fourier transform spectrum Multifractal Target detection
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参考文献13

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共引文献21

同被引文献96

  • 1王祎鸣,毛兴鹏,张杰,纪永刚,楚晓亮.高频地波雷达海杂波的边界约束循环对消[J].海洋与湖沼,2015,46(2):278-284. 被引量:6
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  • 3刘建成,王雪松,刘忠,肖顺平,王国玉.基于Wigner-Hough变换的LFM信号检测性能分析[J].电子学报,2007,35(6):1212-1216. 被引量:34
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