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A New Target Localization Method for Monostatic MIMO Radar Based on PARAFAC Model

机译:基于PARAFAC模型的单基地MIMO雷达目标定位新方法。

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MIMO (Multiple-Input Multiple-Output) radar has drawn considerable attention due to its advantages that conventional radar doesn't have. Monostatic MIMO radar has the anti-jamming and anti-stealth capacity, and can also improve the reliability and localization accuracy of detecting targets. In this paper, we propose a monostatic MIMO radar target localization method based on parallel factor (PARAFAC) model. The proposed method does not impose constraints on the signals, and can optimize the feature of the monostatic MIMO radar. Comparing with the classical radar-imaging-based methods, the proposed method has much better performance in the case of low SNR, less snapshots and more targets.
机译:MIMO(多输入多输出)雷达由于其传统雷达所没有的优势而备受关注。单基地MIMO雷达具有抗干扰和抗隐身能力,还可以提高探测目标的可靠性和定位精度。本文提出了一种基于并行因子模型的单基地MIMO雷达目标定位方法。所提出的方法不对信号施加约束,并且可以优化单静态MIMO雷达的特征。与传统的基于雷达成像的方法相比,该方法在信噪比低,快照少和目标多的情况下具有更好的性能。

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