基于大规模MIMO试验台的鲁棒近场雷达定位实验评估

Adham Sakhnini, Sibren De Bast, M. Guenach, A. Bourdoux, H. Sahli, S. Pollin
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引用次数: 2

摘要

研究了基于OFDM波形的分布式大规模MIMO阵列近场鲁棒雷达感知问题。我们详细阐述了可能破坏雷达数据的一些常见误差来源,并比较了在转向矢量不匹配影响下的非相干反向投影与鲁棒Capon波束形成器。我们通过模拟和实验数据证明,在适当的参数选择下,稳健的Capon波束形成器在动态范围和信噪比方面提供了显着的增益。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Experimental Evaluation of Robust Near-Field Radar Localization Using a Massive MIMO Testbed
This paper considers the problem of robust radar sensing in the near-field of a distributed massive MIMO array using the OFDM waveform. We elaborate on some common sources of errors that may corrupt the radar data, and compare the non-coherent backprojection with the robust Capon beamformer under the influence of steering vector mismatch. We demonstrate with both simulated and experimental data that the robust Capon beamformer, with a suitable choice of parameters, provides significant gains in terms of dynamic range and signal-to-noise ratio.
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