Impact of Low-Resolution ADC on DOA Estimation Performance for Massive MIMO Receive Array
Baihua Shi, Nuo Chen, Xi‐Cheng Zhu, Yuwen Qian, Yijin Zhang, Feng Shu, Jiangzhou Wang
Abstract
In this article, we present a new scenario of direction of arrival estimation using massive multiple-input multiple-output 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, the inpact of low-resolution ADCs on methods, such as Root-MUSIC, 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, adopting ADCs with 2–3 b is an efficient choice for most applications if 1 dB performance loss is acceptable.