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LI Yang,LV Xiaowen,LIU Kuisheng,ZHAO Shangzhuo. 2014. Fractal-based weak target detection within sea clutter. Acta Oceanologica Sinica, 33(9):68-72
Fractal-based weak target detection within sea clutter
海杂波微弱目标分形检测
Received:July 20, 2013  Revised:March 10, 2014
DOI:10.1007/s13131-014-0519-1
Key words:sea clutter  weak target detection  generalized detrended fluctuation analysis
中文关键词:  海杂波  微弱目标检测  广义去趋势波动分析
基金项目:The National Natural Science Foundation of China Project under contract Nos 41276187 and 41076119; the Scientific Research Foundation for Introducing Talents, Nanjing University of Information Science and Technology under contract No. 20110310; Jiangsu Natural Science Foundation under contract No. BK2011008.
Author NameAffiliationE-mail
LI Yang China Academy of Electronics and Information Technology, Beijing 100041, China 110988068@qq.com 
LV Xiaowen Beijing Urban Engineering Design & Research Institute CO., LTD, Beijing 100037, China  
LIU Kuisheng Beijing Urban Construction Group Co., Ltd., Beijing 100088, China  
ZHAO Shangzhuo School of Marine Sciences, Nanjing University of Information Science and Technology, Nanjing 210044, China.  
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Abstract:
      The target on the sea surface is complex and difficult to detect due to the interference of backscattered returns from the sea surface illuminated by the radar pulse. Detrended fluctuation analysis (DFA) has been used successfully to extract the time-domain Hurst exponent of sea-clutter series. Since the frequency of the sea clutter mainly concentrates around Doppler center so that we consider to extract frequency-domain fractal characterization and then detect a weak target within sea clutter by using the difference of frequency-domain fractal characterization. The generalized detrended fluctuation analysis (GDFA) is more flexible than traditional DFA owing to its smoothing action for the clutters. In this paper, we apply the GDFA to evaluate the generalized Hurst exponent of sea-clutter series in the frequency domain. The difference of generalized Hurst exponents between different sea-clutter range bins would be used to determine whether the target exists. Moreover, some simulations with the real IPIX radar data have also been demonstrated in order to support this conclusion.
中文摘要:
      由于海面对雷达波的强散射作用,使得海面上方微弱目标很难检测。去趋势波动分析利用对海杂波Hurst系数的提取来区分纯净和含目标的海杂波。海杂波频率因为海面运动而多集中在多普勒中心周围,同时广义去趋势波动分析相较于传统去趋势波动分析算法可以更加有效的抑制杂波影响,所以本文提出了多普勒域广义去趋势波动分析方法对含有目标的海杂波进行广义Hurst系数提取。利用广义Hurst系数差别作为海杂波含有目标的依据,并对实测IPIX雷达数据进行处理,结果验证了本文所提算法的有效性。
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