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Enhanced monopulse radar tracking using filtering in fractional Fourier domain

机译:在分数阶傅里叶域中使用滤波增强单脉冲雷达跟踪

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Monopulse radars are used to track a target that appears in the look direction beam width. The distortion produced when additional targets appear in the look direction beam width can cause severe erroneous outcomes from the monopulse tracking processor. This leads to errors in the target tracking angles that may cause target mistracking. A new monopulse radar structure is presented in this paper which offers a solution to this problem. This structure is based on the use of optimal Fractional Fourier Transform (FrFT) filtering. The improved performance of the new monopulse radar structure over the traditional monopulse processor is assessed using standard deviation angle estimation error (STDAE) for a range of simulated environments. The proposed system configurations with the optimum FrFT filters is shown to effectively cancel the additional targets' signals and to minimize the STDAE for monopulse processors even if these targets have the same Doppler frequency.
机译:单脉冲雷达用于跟踪在视线方向波束宽度中出现的目标。当其他目标出现在视线方向光束宽度中时产生的畸变会导致单脉冲跟踪处理器产生严重的错误结果。这会导致目标跟踪角度的错误,从而可能导致目标错误跟踪。本文提出了一种新的单脉冲雷达结构,为该问题提供了解决方案。此结构基于最佳分数阶傅立叶变换(FrFT)滤波的使用。使用标准偏差角估计误差(STDAE)评估了一系列模拟环境下新的单脉冲雷达结构相对于传统单脉冲处理器的改进性能。所示的建议的系统配置具有最佳FrFT滤波器,可以有效地消除附加目标的信号,并使单脉冲处理器的STDAE最小化,即使这些目标具有相同的多普勒频率也是如此。

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