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Target scattering centers reconstruction based on C-means method for radar network

机译:基于C型雷达网络的C型C型方法的目标散射中心重建

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Conventional synthetic aperture radar (SAR) and inverse SAR (ISAR) techniques need long integration time, i.e. 1 second or more, to get the high azimuth resolution. Radar network with widely separated transmitters and receivers has the ability to simultaneously acquire the high range resolution profiles (HRRPs) from different angles and thus has the potential to reconstruct the target image by combining the information from these HRRPs. This paper proposed a target reconstruction algorithm based on the C-means method for radar network. The reconstruction could be accomplished by using fuzzy clustering of C-means method based on these HRRPs. The simulation results validated the proposed algorithm.
机译:传统的合成孔径雷达(SAR)和逆SAR(ISAR)技术需要长积分时间,即1秒或更长,以获得高方位角分辨率。具有广泛分离的发射机和接收器的雷达网络具有同时从不同角度获取高范围分辨率的配置文件(HRRPS),因此具有通过组合来自这些HRRP的信息来重建目标图像的可能性。本文提出了一种基于雷达网络C-型方法方法的目标重建算法。可以通过使用基于这些HRRP的C均值方法的模糊聚类来实现重建。仿真结果验证了所提出的算法。

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