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Super-resolution 3D imaging in MIMO radar using spectrum estimation theory

机译:基于频谱估计理论的MIMO雷达超分辨率3D成像

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摘要

A super-resolution three-dimensional (3D) imaging method using spectrum estimation theory and narrowband multiple-input-multiple-output (MIMO) radar is presented. First, the 3D echo signal model is built in a narrowband bistatic MIMO radar with uniform linear transmit array and uniform rectangular receive array. Then, the high accuracy position estimation of target's scattering centres is obtained via spectrum estimation theory only with single snapshot, and the scatter intensity estimation is obtained by least-square estimation. The 3D image of the target is thus reconstructed. The proposed method is especially suitable for high-speed manoeuvring targets with complex motion. Finally, comparative simulation results are presented and the performances under noise and error case are analysed to demonstrate the effectiveness of the method.
机译:提出了一种利用频谱估计理论和窄带多输入多输出(MIMO)雷达的超分辨率三维(3D)成像方法。首先,在具有均匀线性发射阵列和均匀矩形接收阵列的窄带双基地MIMO雷达中建立3D回波信号模型。然后,仅通过单个快照就可以通过频谱估计理论获得目标散射中心的高精度位置估计,而通过最小二乘估计可以获得散射强度估计。由此重建了目标的3D图像。所提出的方法特别适合于具有复杂运动的高速机动目标。最后,给出了比较仿真结果,并分析了在噪声和误差情况下的性能,证明了该方法的有效性。

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