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Sea Clutter Processing for Target Detection in Skywave Over-the-Horizon Radar

机译:海杂波处理在天波超视距雷达中的目标检测

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In order to intuitively understand sea clutter, its Doppler spectrum was simulated through Barrick's second-order cross section equation of HF radar. The imitated sea clutter echo was closely related to the normalized cutoff wave number of radar. Simulated results are consistent with the measured data. This paper presents "CFAR-three-step-test" to deal with the sea clutter of measured data for target detection: (1) detect all the distance units that passing detection threshold G; (2) judge whether the detected units being next to each other, isolated unit getting through; (3) decide whether the peak of the isolated unit being in these three special positions of positive or negative Bragg peak or "zero frequency", if not, determining it a moving target. When skywave OTH radar monitored large area of sea surface, it received a large number of sea echoes. Contraposing these echoes, after analog-to-digital conversion, producing two orthogonal data, using fast Fourier transform and "CFAR-three-step-test", after exclusion of all false alarms, a object was detected finally. This proves that "CFAR-three-step-test" can effectively reduce the sea clutter, and greatly lessen the echo broadening and ghosting caused by ionosphere contamination.
机译:为了直观地了解海杂波,通过巴里克(Barrick)的HF雷达的二阶横截面方程模拟了其多普勒频谱。模拟的海杂波回波与雷达的归一化截止波数密切相关。仿真结果与实测数据一致。本文提出了“ CFAR三步测试”来处理目标检测数据的海杂波:(1)检测所有通过检测阈值G的距离单位; (2)判断检测到的单元是否相邻,孤立的单元通过。 (3)确定隔离单元的峰值是处于正布拉格峰还是负布拉格峰或“零频率”这三个特殊位置,如果不是,则将其确定为运动目标。当天波OTH雷达监视大面积的海面时,它会收到大量的海洋回波。与这些回声相反,经过模数转换后,使用快速傅里叶变换和“ CFAR三步测试”产生两个正交数据,排除所有错误警报后,最终检测到一个对象。这证明“ CFAR三步测试”可以有效地减少海浪杂波,并大大减轻电离层污染引起的回波展宽和重影。

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