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Polarimetric MIMO Radar With Distributed Antennas for Target Detection

机译:具有分布天线的极化MIMO雷达,用于目标检测

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摘要

Multiple-input-multiple-output (MIMO) radar systems with widely separated antennas enable viewing the target from different angles, thereby providing spatial diversity gain. Polarimetric design of the transmit waveforms based on the properties of the target scattering matrix provides better performance than transmitting waveforms with only fixed horizontal or vertical polarizations. We propose a radar system that combines the advantages of both systems by transmitting polarized waveforms from multiple distributed antennas, in order to detect a point-like stationary target. The proposed system employs 2-D vector sensors at the receivers, each of which measures the horizontal and vertical components of the received electric field separately. We design the Neyman-Pearson detector for such systems. We derive approximate expressions for the probability of false alarm (PFA) and the probability of detection (PD). Using numerical simulations, we demonstrate that optimal design of the antenna polarizations provides improved performance over MIMO systems that transmit waveforms of fixed polarizations over all the antennas. We also demonstrate that having multiple widely separated antennas gives improved performance over single-input-single-output (SISO) polarimetric radar. We also demonstrate that processing the vector measurements at each receiver separately gives improved performance over systems that linearly combine both the received signals to give scalar measurements.
机译:具有宽间隔天线的多输入多输出(MIMO)雷达系统能够从不同角度观察目标,从而提供空间分集增益。与仅具有固定水平或垂直极化的发射波形相比,基于目标散射矩阵特性的发射波形的极化设计可提供更好的性能。我们提出了一种雷达系统,该系统通过从多个分布式天线发射极化波形来结合两个系统的优点,以便检测点状固定目标。所提出的系统在接收器处采用二维矢量传感器,每个矢量传感器分别测量接收电场的水平和垂直分量。我们为此类系统设计了Neyman-Pearson检测器。我们推导错误警报概率(PFA)和检测概率(PD)的近似表达式。通过数值模拟,我们证明了天线极化的最佳设计相对于在所有天线上传输固定极化波形的MIMO系统提供了更高的性能。我们还证明了拥有多个宽间隔的天线比单输入单输出(SISO)极化雷达具有更高的性能。我们还证明,与线性组合两个接收信号以给出标量测量值的系统相比,分别处理每个接收器处的矢量测量值可提高性能。

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