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.
翻译:在本文中,我们提出了使用大量多投入多重产出(MIMO)接收低分辨率模拟数字转换器(ADCs)的阵列的抵达方向估计(DOA)的新情景,这在性能和电路成本之间可以取得良好的平衡。根据线性添加分数噪声模型(AQNM),低分辨率ADCs对诸如根-MUSIC方法等方法的影响得到了分析。此外,Cramer-Rao较低约束度(CRLB)的封闭式表达方式是用来评价低分辨率ADCs造成的性能损失的。模拟结果表明,根-MUSIC方法可以达到相应的CRLB。此外,如果1dB性能损失,大多数应用都可接受2-3位。