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A Sorties Recognition Algorithm of Formation Targets for Wide-band Radar

机译:宽带雷达编队目标的空战识别算法

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Aiming at the disadvantage that conventional low resolution radar can't distinguish formation targets in range and azimuth, a sorties recognition algorithm of formation targets is proposed in wide-band radar, which is based on image processing technology and signal detection theory. The Smaller of Constant False Alarm Rate (SO-CFAR) and sliding window detection are used to cluster the targets of different sorties, and eliminate the interference of clutter and noise on sorties recognition. In addition, the connected region labeling technique is carried out to realize the automatic recognition of sorties in formation targets. The experimental results of some measured data illustrate the effectiveness of the proposed method.
机译:针对传统低分辨率雷达无法分辨距离和方位的编队目标的缺点,提出了一种基于图像处理技术和信号检测理论的宽带雷达编队目标的识别算法。较小的恒定误报率(SO-CFAR)和滑动窗口检测用于对不同架次的目标进行聚类,并消除杂波和噪声对架次识别的干扰。另外,通过实施连通区域标记技术,可以自动识别编队目标中的出动。一些测量数据的实验结果证明了该方法的有效性。

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