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Analysis of Hot Clutter in Radar Using Spatial Data.

机译:基于空间数据的雷达热杂波分析。

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Hot clutter consists of jammer signals which have been reflected in the ground or sea before they are received by a radar. This is a significant problem in current military airborne radar systems. There are several proposed ways to suppress hot clutter. Low sidelobes, adaptive beamforming and sidelobe cancellation (SLC) are proposed against hot clutter in the sidelobes. Fast-time space-time adaptive processing (fast-time STAP) is proposed against hot clutter in the mainbeam. This report is directed to the scientists working in the field of radar. In the report we analyze hot clutter, particularly the required suppression performance in terms of degrees-of-freedom (DOF) for adaptive beamforming. Our results should also partly give a description of required DOFs for STAP. The results are applicable both to present radars which can be enhanced by addition of SLC or to future radars with fully adaptive array antennas. In the report we also describe a theoretical connection between our analysis methods and common hot clutter suppression methods.

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