3D imaging using narrowband MIMO radar and ISAR technique

Xiaowei Hu, N. Tong, Yongshun Zhang, Yuchen Wang
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引用次数: 9

Abstract

A novel method for three-dimensional (3D) imaging by combining a narrowband bistatic multiple-input-multiple-output (MIMO) radar with two uniform linear arrays and inverse synthetic aperture technique is presented. During a short coherent processing interval (CPI), the motion of the target can be equivalent to a synthetic uniform linear array, which, together with the two narrowband MIMO arrays, is capable to reconstruct the 3D image of the target. Compared with the one-snapshot narrowband MIMO 3D imaging using two rectangular arrays, the proposed method can achieve a significant saving on the number of antennas since the linear arrays and multiple-snapshot technique are employed. Considering the low resolution of the image via limited MIMO arrays, a compressive sensing (CS)-based method is proposed to improve the 3D resolution jointly. Finally, simulation results demonstrate the proposed method is effective.
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利用窄带MIMO雷达和ISAR技术进行三维成像
提出了一种将窄带双基地多输入多输出(MIMO)雷达与双均匀线阵和逆合成孔径技术相结合的三维成像新方法。在较短的相干处理间隔(CPI)内,目标的运动可以等效为一个合成的均匀线性阵列,该阵列与两个窄带MIMO阵列一起能够重建目标的三维图像。与使用两个矩形阵列的单快照窄带MIMO三维成像相比,该方法由于采用了线性阵列和多快照技术,可以显著节省天线数量。针对有限MIMO阵列图像分辨率较低的问题,提出了一种基于压缩感知(CS)的联合三维分辨率提高方法。最后,仿真结果验证了该方法的有效性。
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