To realize high azimuth resolution for sea-surface targets, this article proposes a superresolution imaging method that relies on the Weibull distribution. The proposed method introduces the generalized Gaussian distribution and Weibull distribution to represent the statistical distribution function of the target prior information and sea clutter, respectively. The corresponding objective function was derived under the maximum a posteriori (MAP) criterion. To address the nonlinearity of the objective function, this article adopts the Newton–Raphson iterative method to resolve it. Simulations and experimental data assessment indicate that the proposed method has superior superresolution imaging performance compared with other traditional superresolution methods for sea-surface target imaging.

中文翻译：

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基于威布尔分布的海面目标扫描雷达前视超分辨成像


为了实现海面目标的高方位分辨率，本文提出了一种依赖威布尔分布的超分辨率成像方法。该方法引入广义高斯分布和威布尔分布分别表示目标先验信息和海杂波的统计分布函数。相应的目标函数是在最大后验（MAP）准则下导出的。针对目标函数的非线性问题，本文采用Newton-Raphson迭代法进行求解。仿真和实验数据评估表明，与其他传统的海面目标超分辨方法相比，该方法具有优越的超分辨成像性能。