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The Use of Method CLEAN and the Successive Projections Algorithm to Speed Antenna Measurements

机译:使用CLEAN方法和连续投影算法加快天线测量速度

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In antenna measurements, it is well known that unwanted reflections contain useful information about the test antenna pattern. When time-gating is used to separate the direct path impulse from the reflections, this information is discarded. However, the information can be used to help reconstruct the test antenna pattern, thereby decreasing the number of measurements required by a substantial factor. This paper details solutions based on sparse matrix methods to overcome the excessive time required for measuring antenna patterns. The solutions also remove the effects of reflections, either by time-gating or by using the information about the test antenna pattern contained in the reflections. Using the algorithm CLEAN significantly improves the contrast of sparse data sets. There is also a substantial improvement in the SNR, both for situations with no extraneous scatterers and with an extraneous scatterer deliberately introduced. Moreover, the information about the test antenna pattern contained in the unwanted reflections may be incorporated into the reconstruction of the pattern by using a successive projection algorithm. When the number of measurements used exceeds a prescribed minimum value, the algorithm improves the contrast of the above CLEAN results by a useful amount.
机译:在天线测量中,众所周知,不需要的反射会包含有关测试天线方向图的有用信息。当使用时间门控将直接路径脉冲与反射分开时,此信息将被丢弃。但是,该信息可用于帮助重建测试天线方向图,从而将所需的测量数量减少很多。本文详细介绍了基于稀疏矩阵方法的解决方案,以克服测量天线方向图所需的过多时间。该解决方案还可以通过时间门控或通过使用反射中包含的有关测试天线方向图的信息来消除反射的影响。使用算法CLEAN可以显着改善稀疏数据集的对比度。对于没有多余散射体和有意引入多余散射体的情况,SNR都有很大的改善。而且,可以通过使用连续投影算法将关于包含在不需要的反射中的测试天线方向图的信息并入方向图的重建中。当使用的测量次数超过规定的最小值时,该算法会将上述CLEAN结果的对比度提高一个有用的数量。

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