基于PARAFAC模型的单站MIMO雷达目标定位新方法

2018 IEEE 18th International Conference on Communication Technology (ICCT) Pub Date : 2018-10-01 DOI:10.1109/ICCT.2018.8600023

Jianhe Du, Meng Han, Ruyi Deng, Rui Chang, Yuanzhi Chen

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引用次数: 0

摘要

多输入多输出(MIMO)雷达由于具有传统雷达所不具备的优点而受到广泛关注。单基地MIMO雷达具有抗干扰和反隐身能力，还能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(PARAFAC)模型的单站MIMO雷达目标定位方法。该方法对信号不施加约束，可以优化单站MIMO雷达的特性。与传统的基于雷达成像的方法相比，该方法在低信噪比、少快照和多目标的情况下具有更好的性能。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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

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.

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2018 IEEE 18th International Conference on Communication Technology (ICCT)

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