MGRFT-Based Coherent Integration Method for High-Speed Maneuvering Target with Range Ambiguity

Kaiyao Wang, Xiaolong Li, Haixu Chen, Mingxing Wang
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Abstract

When radar detects a high-speed maneuvering target, not only will the phenomena of range migration (RM) and Doppler migration (DM) appear, but also the phenomenon of range ambiguity, which poses challenges to the traditional accumulation processing method. In this paper, we first establish the target echo model with range ambiguity based on the spatial geometric model. On this basis, we propose a coherent integration method based on the modulo generalized Radon Fourier transform (MGRFT). By performing the modulo addressing operation during the joint search of motion parameters, the proposed method can correct RM and DM and deal with the problem of trajectory breakage under range ambiguity so as to achieve the coherent integration of echo energy and effectively improve the signal-to-noise ratio (SNR). Finally, experimental results demonstrate the effectiveness of the proposed algorithm.
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基于mgrft的距离模糊高速机动目标相干积分方法
当雷达探测到高速机动目标时,不仅会出现距离偏移(RM)和多普勒偏移(DM)现象,而且还会出现距离模糊现象,这对传统的积累处理方法提出了挑战。本文首先在空间几何模型的基础上建立了具有距离模糊的目标回波模型。在此基础上,提出了一种基于模广义Radon傅里叶变换(MGRFT)的相干积分方法。该方法通过在运动参数联合搜索过程中进行模寻址运算,修正了RM和DM,解决了距离模糊情况下的轨迹断裂问题,实现了回波能量的相干积分,有效提高了信噪比。最后,通过实验验证了该算法的有效性。
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