Deep-Learning-Based Pilot Optimization for Near-Field Channel Estimation in Ultra-Massive MIMO

IF 0.7 4区工程技术 Q4 ENGINEERING, ELECTRICAL & ELECTRONIC

Electronics Letters Pub Date : 2025-04-01 DOI:10.1049/ell2.70227

Zexian Chen, Kunpeng Song, Zhengwei Qu, Yunze Zhang, Yong Shang

引用次数: 0

Abstract

As sixth-generation (6G) communication technology evolves, the increase in frequency and the number of antennas has made traditional far-field channel estimation methods less effective. This paper proposes a deep neural network (DNN)-based method to optimize pilot signals for near-field channel estimation in ultra-massive multiple-input multiple-output (MIMO) systems. By optimizing the pilot signals, the method can accurately estimate the distance and angle of scatterers, addressing the challenges of traditional sparse estimation techniques. Simulation results demonstrate that this approach improves estimation accuracy compared to conventional methods.

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基于深度学习的超大规模MIMO近场信道估计导频优化

随着第六代（6G）通信技术的发展，频率和天线数量的增加使得传统的远场信道估计方法变得不那么有效。提出了一种基于深度神经网络（DNN）的超大规模多输入多输出（MIMO）系统近场信道估计导频信号优化方法。该方法通过对导频信号进行优化，能够准确估计散射体的距离和角度，解决了传统稀疏估计技术存在的问题。仿真结果表明，与传统方法相比，该方法提高了估计精度。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Electronics Letters 工程技术-工程：电子与电气

CiteScore

2.70

自引率

0.00%

发文量

268

审稿时长

3.6 months

期刊介绍： Electronics Letters is an internationally renowned peer-reviewed rapid-communication journal that publishes short original research papers every two weeks. Its broad and interdisciplinary scope covers the latest developments in all electronic engineering related fields including communication, biomedical, optical and device technologies. Electronics Letters also provides further insight into some of the latest developments through special features and interviews. Scope As a journal at the forefront of its field, Electronics Letters publishes papers covering all themes of electronic and electrical engineering. The major themes of the journal are listed below. Antennas and Propagation Biomedical and Bioinspired Technologies, Signal Processing and Applications Control Engineering Electromagnetism: Theory, Materials and Devices Electronic Circuits and Systems Image, Video and Vision Processing and Applications Information, Computing and Communications Instrumentation and Measurement Microwave Technology Optical Communications Photonics and Opto-Electronics Power Electronics, Energy and Sustainability Radar, Sonar and Navigation Semiconductor Technology Signal Processing MIMO