Abstract. In sea clutter background, spaceborne or airborne surveillance radar with a high-speed moving platform is confronted with the problem of clutter spreading. This poses a considerable challenge for maritime radar systems when detecting slowly moving targets of low signal-to-noise ratio. However, the space-time decorrelation characteristics caused by the internal motions of sea clutter under different sea conditions are mostly neglected in the current detecting techniques, which go against the reliable parameter selection in the clutter suppression process. An innovative multi-channel space-time decorrelation analysis method based on sea clutter is proposed. First, the channel decorrelation factors caused by the channel amplitude-phase errors and the noise are calculated by fusing the calibration signal with echo data. Then, the temporal decorrelation curve caused by the internal motions of sea clutter is obtained by fitting the peak points of multi-channel correlation coefficient curve based on the multi-channel phase center. Finally, the independent spatial decorrelation curve is derived through calculating the multi-channel correlation coefficients of different range bins. Due to the utilization of space-time characteristics decomposition method for sea clutter, the space-time coupling problem can be solved effectively. The experimental results based on the measured data prove the effectiveness of the proposed method.

中文翻译：

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基于海杂波的多通道时空去相关分析方法

摘要。在海杂波背景下，具有高速移动平台的星载或机载监视雷达面临着杂波扩散的问题。在检测低信噪比的缓慢移动目标时，这对海上雷达系统构成了相当大的挑战。然而，目前的检测技术大多忽略了不同海况下海杂波内部运动引起的时空去相关特性，不利于杂波抑制过程中可靠的参数选择。提出了一种创新的基于海杂波的多通道时空去相关分析方法。首先，通过将校准信号与回波数据融合来计算由信道幅相误差和噪声引起的信道去相关因子。然后，通过基于多通道相位中心拟合多通道相关系数曲线的峰值点，得到海杂波内部运动引起的时间去相关曲线。最后，通过计算不同距离区间的多通道相关系数，得到独立的空间去相关曲线。由于采用了海杂波时空特征分解方法，可以有效解决时空耦合问题。基于实测数据的实验结果证明了所提出方法的有效性。通过计算不同距离区间的多通道相关系数，得到独立的空间去相关曲线。由于采用了海杂波时空特征分解方法，可以有效解决时空耦合问题。基于实测数据的实验结果证明了所提出方法的有效性。通过计算不同距离区间的多通道相关系数，得到独立的空间去相关曲线。由于采用了海杂波时空特征分解方法，可以有效解决时空耦合问题。基于实测数据的实验结果证明了所提出方法的有效性。