دورية أكاديمية

Optimization based Millimeter Wave Channel Estimation with Low-resolution Analog-to-digital Converters

التفاصيل البيبلوغرافية
العنوان: Optimization based Millimeter Wave Channel Estimation with Low-resolution Analog-to-digital Converters
المؤلفون: Guang-cheng XIE, Yu SU, Yan ZENG, Ying-ying CHENG
المصدر: Guangtongxin yanjiu, Iss 3, Pp 11-16 (2022)
بيانات النشر: 《光通信研究》编辑部, 2022.
سنة النشر: 2022
المجموعة: LCC:Applied optics. Photonics
مصطلحات موضوعية: millimeter wave communication, massive mimo, channel estimation, low-resolution adc, convex optimization, Applied optics. Photonics, TA1501-1820
الوصف: Millimeter wave large-scale Multiple Input Multiple Output (MIMO) system has more radio frequency links that bringing more power consumption, which could be efficiently tackled by using low-resolution Analog-to-Digital Converters (ADCs) in receiver. Considering the influence of the received signal amplitude distortion caused by low-resolution ADCs on the performance of channel estimation, a two-stage millimeter wave channel estimation algorithm is proposed after optimization. In the first stage, we construct the optimization problem which inequality constraints originating from the received signal determined by the quantized received signal and estimate the direction of arrival by using l1-norm to measure the sparsity. In the second stage, according to the estimated direction, Bussgang decomposition has been used to approximate the nonlinear quantization process, and the least square estimation of the complex channel gain is obtained. Simulation results show that the performance of the proposed algorithm is improved by about 5 dB compared with the current state-of-the-art algorithm, and the complexity is reduced to be linear. It can be seen that the proposed algorithm is greatly improved in terms of effectiveness and reliability, and has certain practical value.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: Chinese
تدمد: 1005-8788
Relation: http://www.gtxyj.com.cn/thesisDetails#10.13756/j.gtxyj.2022.03.003&lang=zh; https://doaj.org/toc/1005-8788
DOI: 10.13756/j.gtxyj.2022.03.003&lang=zh
DOI: 10.13756/j.gtxyj.2022.03.003
URL الوصول: https://doaj.org/article/2d438060aa0b4333a19566a4f94591ed
رقم الأكسشن: edsdoj.2d438060aa0b4333a19566a4f94591ed
قاعدة البيانات: Directory of Open Access Journals