High-frequency surface wave radar (HFSWR) is an effective method for detecting and monitoring the targets on the ocean surface and above. To improve the detection performance of HFSWR, a new detector is proposed by applying weighted distance iteration (WDI) processing to the joint domain localised (JDL) matrix constant false alarm rate (CFAR) detector. Based on information geometry theory and Riemannian manifold, the proposed detector uses multi-dimensional information (azimuth, Doppler velocity and range information) of the signal to effectively find the target that has drowned in sea clutter and uses WDI-processing technique to suppress the clutter. The experimental results are given to show the superiority of the proposed detector. Compared with cell average CFAR detector and JDL matrix CFAR detector, the proposed detector improves the detection performance effectively.

中文翻译：

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海杂波中的加权距离迭代矩阵CFAR检测器

高频表面波雷达（HFSWR）是检测和监视海面及以上目标的有效方法。为了提高HFSWR的检测性能，通过对联合域局部（JDL）矩阵恒虚警率（CFAR）检测器进行加权距离迭代（WDI）处理，提出了一种新的检测器。基于信息几何理论和黎曼流形，该探测器利用信号的多维信息（方位角，多普勒速度和距离信息）有效地发现淹没在海杂波中的目标，并使用WDI处理技术来抑制杂波。实验结果表明了该检测器的优越性。与单元平均CFAR检测器和JDL矩阵CFAR检测器相比，