论文标题
1位mmwave巨大MIMO系统的稀疏自适应梁塞通道估计
Sparsity-Adaptive Beamspace Channel Estimation for 1-Bit mmWave Massive MIMO Systems
论文作者
论文摘要
我们提出了稀疏自适应梁塞通道估计算法，以提高全数字毫米波（MMWAVE）中1位数据转换器的准确性（MMWAVE）大量多输入多输出（MIMO）基座。我们的算法包括基于Stein的无偏风险估计（当然）的调整阶段，该算法会根据瞬时通道条件自动选择最佳的Denoising参数。通过视线线（LOS）和非LOS MMWAVE大量MIMO通道模型的仿真结果表明，我们的算法通过以计算有效的方式通过1位测量值提高了通道估计的精度。
We propose sparsity-adaptive beamspace channel estimation algorithms that improve accuracy for 1-bit data converters in all-digital millimeter-wave (mmWave) massive multiple-input multiple-output (MIMO) basestations. Our algorithms include a tuning stage based on Stein's unbiased risk estimate (SURE) that automatically selects optimal denoising parameters depending on the instantaneous channel conditions. Simulation results with line-of-sight (LoS) and non-LoS mmWave massive MIMO channel models show that our algorithms improve channel estimation accuracy with 1-bit measurements in a computationally-efficient manner.
