论文标题
低分辨率ADC对大型MIMO的DOA估计性能的影响接收阵列
Impact of Low-Resolution ADC on DOA Estimation Performance for Massive MIMO Receive Array
论文作者
论文摘要
在本文中，我们提出了一种使用大量多输入多输出（MIMO）的到达方向（DOA）估计的新方案，并以低分辨率模拟转换器（ADC）接收阵列，这可以在性能和电路成本之间取得良好的平衡。基于线性添加量化噪声模型（AQNM），分析了低分辨率ADC对方法（例如root-Music方法）的影响。同样，得出Cramer-Rao下限（CRLB）的闭合形式表达，以评估低分辨率ADC引起的性能损失。仿真结果表明，根 - 音乐方法可以实现相应的CRLB。此外，如果1DB性能损失，则可以接受2-3位。
In this paper, we present a new scenario of direction of arrival (DOA) estimation using massive multiple-input multiple-output (MIMO) receive array with low-resolution analog-to-digital convertors (ADCs), which can strike a good balance between performance and circuit cost. Based on the linear additive quantization noise model (AQNM), the effect of low-resolution ADCs on the methods, such as Root-MUSIC method, is analyzed. Also, the closed-form expression of Cramer-Rao lower bound (CRLB) is derived to evaluate the performance loss caused by the low-resolution ADCs. The simulation results show that the Root-MUSIC methods can achieve the corresponding CRLB. Furthermore, 2-3 bits are acceptable for most applications if the 1dB performance loss.
