Impact of Low-Resolution ADC on DOA Estimation Performance for Massive MIMO Receive Array

被引：19

作者：

Shi, Baihua ^{[1
]}

Chen, Nuo ^{[1
]}

Zhu, Xicheng ^{[1
]}

Qian, Yuwen ^{[1
]}

Zhang, Yijin ^{[1
]}

Shu, Feng ^{[1
,2
]}

Wang, Jiangzhou ^{[3
]}

机构：

[1] Nanjing Univ Sci & Technol, Sch Elect & Opt Engn, Nanjing 210094, Peoples R China

[2] Hainan Univ, Sch Informat & Commun Engn, Haikou 570228, Hainan, Peoples R China

[3] Univ Kent, Sch Engn & Digital Arts, Canterbury CT2 7NT, Kent, England

来源：

IEEE SYSTEMS JOURNAL | 2022年 / 16卷 / 02期

基金：

国家重点研发计划; 中国国家自然科学基金;

关键词：

Signal to noise ratio; Estimation; Direction-of-arrival estimation; Massive MIMO; Quantization (signal); Antenna arrays; Wireless communication; Additive quantization noise model (AQNM); Cramer--Rao lower bound (CRLB); direction of arrival (DOA); low -resolution analog-to-digital convertors (ADCs); CHANNEL ESTIMATION; LOW-COMPLEXITY; LOCALIZATION; SYSTEMS;

D O I：

10.1109/JSYST.2021.3139449

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：2635 / 2638

页数：4

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