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Matching score properties between range profiles of high-resolutionradar targets

机译:高分辨率雷达目标的距离剖面之间的匹配得分属性

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In this paper, how the statistical properties of the matching scores are affected by the carrier frequency, the aspect variation, the range resolution, and the target complexity are studied. The statistical parameters (mean and standard deviation) of the matching scores among range profiles of independent objects are derived, and their values are used as references to determine the threshold values for target identification. It is found that the range profile obtained at a certain carrier frequency can also be used as the feature vector for radars operated at shifted frequencies if the range resolution is fine enough or the target is simple. It is also found that a radar with higher range resolution can tolerate more aspect variation, yielding a significant advantage in saving memory space for establishing the data base. The results obtained can have several applications such as target identification, data association in multiple target tracking, and target direction determination when widely-spaced high-resolution radars are employed
机译:在本文中,研究了匹配分数的统计特性如何受到载波频率,纵横比变化,距离分辨率和目标复杂度的影响。导出独立对象的范围轮廓之间的匹配分数的统计参数(均值和标准差),并将它们的值用作确定目标识别的阈值的参考。可以发现,如果距离分辨率足够好或目标很简单,则在一定载频下获得的距离分布也可以用作在偏移频率下工作的雷达的特征向量。还发现具有更高范围分辨率的雷达可以容忍更多的宽高比变化,在节省用于建立数据库的存储空间方面产生了显着的优势。当使用宽间隔高分辨率雷达时,获得的结果可以具有多种应用,例如目标识别,多目标跟踪中的数据关联以及目标方向确定

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