【摘要】 由于低分辨率雷达信息量有限,不能对目标的属性特征等做出精确的判断分类,只能做到粗略的分类判断。因此,文中给出了一种雷达散射截面(RCS)统计信息的低分辨率雷达对目标大小的分类方法。讨论了一种利用最大最小距离的聚类模式识别算法。并通过对实测数据的处理对算法进行了验证,证实了利用RCS统计特性结合最大最小距离的聚类模式识别算法对目标进行大小分类的可行性。更多还原

【Abstract】 Because information obtained by low-resolution radar is limited,it can′t classify the targets accurately.This paper introduces a method for target size classification which is based on the statistical RCS information from the low-resolution radar.A method of max-min distance clustering pattern recognition is discussed.Finally,using to the real radar data the correctness of the method is verified.更多还原