一种高分辨雷达三维成像运动补偿方法

    The Motion CompensationMethod of High Resolution Radar 3D Imaging

    • 摘要: 在高速相对运动条件下,MIMO雷达平台采集到的回波数据处于不同坐标系下导致目标的形状、位置和姿态等信息偏差,严重影响目标检测与成像。本文基于多普勒频分多址-码分多址(doppler division multiple access-code division multiple access, DDMA-CDMA)联合正交编码实现了在不同场景下多普勒速度估计的运动补偿方法。首先,建立了二维阵列中的信号模型,分析了不同场景速度估计方法,并给出了运动补偿的约束条件。其次,针对多个散射点的发射通道采样点耦合,产生速度完全模糊问题,采用DDMA-CDMA联合正交编码拓宽了最大不模糊速度范围。最后,实验结果表明:该方法较传统DDMA编码将最大不模糊速度范围扩展了7倍,与理论值一致;高速条件下经补偿后的三维点云图像清晰聚焦,目标外形重叠覆盖率达95%以上,与真实目标具有高度一致性。

       

      Abstract: Under high-speed relative motion conditions, the echo data acquired by the MIMO radar platform are located in different coordinate systems, resulting in deviations in target shape, position, attitude, and other information, which seriously affects target detection and imaging. This paper adopts a motion compensation method based on Doppler Division Multiple Access-Code Division Multiple Access (DDMA-CDMA) joint orthogonal coding for Doppler velocity estimation in different scenarios. First, a signal model for a two-dimensional array is established, the velocity estimation methods for different scenarios are analyzed, and the constraints for motion compensation are given. Furthermore, to address the problem of complete velocity ambiguity caused by coupling of sampling points from transmit channels of multiple scattering points, the DDMA-CDMA joint orthogonal coding is adopted to extend the maximum unambiguous velocity range. Finally, experimental results show that, compared with traditional DDMA coding, the proposed method extends the maximum unambiguous velocity range by a factor of 7, which is consistent with theoretical values; under high-speed conditions, the compensated 3D point cloud images are clearly focused, and the overlap coverage rate of target contours exceeds 95%, showing high consistency with the real target.
       

       

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