基于匹配傅里叶变换的机动目标检测算法

B. Guo, Huixian Sun, Wenhua Hu, Ning Han, Huiyan Zeng, Guanjun Chen
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引用次数: 0

摘要

当雷达探测到机动目标时,回波相位存在一个高阶项。在进行相干积分时,会出现通过多普勒单元的偏移现象,影响目标检测性能。针对机动目标的检测问题,提出了一种基于匹配傅里叶变换(MFT)的机动目标检测算法。该算法通过构造与目标回波相位一致的基函数,消除了多普勒偏移问题,能够有效估计目标的速度、加速度等运动参数。仿真实验验证了该算法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Detection Algorithm of Maneuvering Target Based on Matched Fourier Transform
When the radar detects the maneuvering target, there is a high-order term in the echo phase. When the coherent integration is carried out, the phenomenon of migration through Doppler cells occurs, which affects the target detection performance. Aiming at the detection problem of maneuvering target, a detection algorithm based on Matched Fourier Transform (MFT) is proposed. By constructing a basis function that is consistent with the target echo phase, the algorithm eliminated the problem of Doppler migration and can effectively estimate the motion parameters such as speed and acceleration of the target. Simulation experiments verified the effectiveness of the proposed algorithm.
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