MIMO Radar Calibration and Imagery for Near-Field Scattering Diagnosis
MIMO Radar Calibration and Imagery for Near-Field Scattering Diagnosis
复制标题
用于近场散射诊断的 MIMO 雷达校准和图像
DOI：
10.1109/taes.2017.2760758
复制
发表时间：
2018-02-01
影响因子：
4.4
通讯作者：
Xu, Guangyao
中科院分区：
文献类型：
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作者：
Liu, Yongze;Xu, Xiaojian;Xu, Guangyao
多输入多输出(MIMO)雷达是一种高分辨率成像技术，特别适用于复杂目标的近场电磁散射诊断。其中，高副瓣和雷达散射截面(RCS)校准不确定性是此类应用面临的主要挑战，原因是阵列不均匀、通道不完善和天线方向图逐渐变细。这些缺点阻碍了MIMO雷达获得具有足够的动态范围和RCS精度的高质量图像。在本文中，我们为这些问题开发了一个完整的解决方案。提出了一种新的自适应加权技术，该技术通过优化复权重来精确校准MIMO阵列的幅相误差和降低方位向旁瓣。为了提高RCS定标精度，提出了一种MIMO滤波反投影成像算法，补偿了传播路径损耗、天线方向图锥化和近场球面波前引起的相位失真。给出了室内和室外的测试结果，显示了使用该技术获得的高质量图像，证明了MIMO雷达在复杂目标的诊断RCS成像中的适用性。
Multiple-input multiple-output (MIMO) radar is an enabling technique for high-resolution imaging, which is especially useful for nearfield electromagnetic scattering diagnosis of complex targets. Among others, high sidelobes and radar cross section (RCS) calibration uncertainty are the major challenges for such applications, due to array nonuniformity, imperfect channels, and antenna pattern tapering. These shortcomings prevent a MIMO radar from obtaining highquality images with enough dynamic range and RCS accuracy. In this paper, we develop a complete solution for these problems. A novel adaptive weighting technique is proposed, where the complex weights are optimized for exact amplitude and phase error calibration of a MIMO array and for azimuth sidelobe reduction. A MIMO filtered backprojection algorithm is developed for image formation with improved RCS calibration accuracy, where propagation path-loss, antenna pattern tapering, and phase distortion due to the near-field spherical wave front are compensated. Both indoor and outdoor field test results are presented to show the high-quality images obtained using the proposed techniques, demonstrating the applicability of a MIMO radar for diagnostic RCS imaging of complex targets.