Fractal-based weak target detection within sea clutter
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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。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.
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