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Massive multiple-input multiple-output (MIMO) radar, assisted by millimeter-wave band virtual MIMO techniques, provides great promises to the high-resolution automotive sensing and target detection in unmanned ground/aerial vehicles (UGA/UAV). As one long-standing challenging problem, however existing subspace methods may suffer from either the low resolution/accuracy or the high time complexity. In this study, we propose two computational efficient methods to accomplish the high-resolutionarXiv:1911.07434v2 fatcat:e3hcftoxhfabbmobe7z2maqk4i