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High Speed Dim Air Target Detection Using Airborne Radar under Clutter and Jamming Effects

机译:在杂波和干扰作用下使用机载雷达进行高速暗空目标检测

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摘要

The challenging potential problems associated with using airborne radar in detection of high Speed Maneuvering Dim Target (HSMDT) are the highly noise, jamming and clutter effects. The problem is not only how to remove clutter and jamming as well as the range migration and Doppler ambiguity estimation problems due to high relative speed between the targets and airborne radar. Some of the recently published works ignored the range migration problems, while the others ignored the Doppler ambiguity estimation. In this paper a new hybrid technique using Optimum Space Time Adaptive Processing (OSTAP), Second Order Keystone Transform (SOKT), and the Improved Fractional Radon Transform (IFrRT) was proposed. The OSTAP was applied as anti-jamming and clutter rejection method, the SOKT corrects the range curvature and part of the range walk, then the IFrRT estimates the target’ radial acceleration and corrects the residual range walk. The simulation demonstrates the validity and effectiveness of the proposed technique, and its advantages over the previous researches by comparing its probability of detection with the traditional methods. The new approach increases the probability of detection, and also overcomes the limitation of Doppler frequency ambiguity.
机译:与使用机载雷达检测高速机动目标(HSMDT)相关的具有挑战性的潜在问题是高度的噪声,干扰和杂波效应。问题不仅在于如何消除由于目标与机载雷达之间相对较高的速度而引起的混乱和干扰以及距离偏移和多普勒模糊度估计问题。最近发表的一些作品忽略了距离偏移问题,而其他作品则忽略了多普勒模糊度估计。本文提出了一种使用最佳时空自适应处理(OSTAP),二阶梯形失真校正(SOKT)和改进的分数阶OK变换(IFrRT)的混合技术。 OSTAP被用作抗干扰和杂波抑制方法,SOKT校正了距离曲率和部分行程,然后IFrRT估计目标的径向加速度并校正了剩余的行程。仿真结果通过与传统方法比较,验证了所提技术的有效性和有效性,并证明了该技术的优势。新方法增加了检测的可能性,并且还克服了多普勒频率模糊性的限制。

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