Model-Driven Channel Estimation Network for Orthogonal Time-Frequency Space Systems

IF 7.1 2区计算机科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC

IEEE Transactions on Vehicular Technology Pub Date : 2025-03-06 DOI:10.1109/TVT.2025.3548639

Qian Wang;Xingke Chen;Qin Tao;Li Ping Qian;Pooi-Yuen Kam;Yuan Wu

引用次数: 0

Abstract

Orthogonal time-frequency space (OTFS) modulation has garnered significant attention in wireless communications, particularly in high-mobility scenarios, due to its exceptional resilience to Doppler shifts. While the delay-Doppler domain channel estimation is mostly considered for reliable communication, it is often hindered by fractional Doppler shifts in complex channel conditions. To overcome this challenge, this paper proposes a model-driven channel estimation network (CENet) for accurate channel estimation in the delay-time (DT) domain, with the initial least-squares (LS) solutions as prior information for training. Specifically, a LS-driven CENet with parallel structure is proposed to efficiently handle the high-dimensional DT domain channel matrix, which enables the row-wise training and estimation with fast convergence. Simulation results demonstrate that our proposed CENet significantly outperforms the conventional LS and deep neural network-based methods.

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正交时频空间系统的模型驱动信道估计网络

正交时频空间（OTFS）调制由于其对多普勒频移的特殊恢复能力，在无线通信中引起了极大的关注，特别是在高移动场景中。虽然延迟-多普勒域信道估计通常被认为是可靠的通信，但在复杂的信道条件下，它经常受到分数多普勒频移的阻碍。为了克服这一挑战，本文提出了一种模型驱动的信道估计网络（CENet），以初始最小二乘（LS）解作为训练的先验信息，在延迟时间（DT）域进行准确的信道估计。具体而言，提出了一种ls驱动的并行结构的CENet，以有效地处理高维DT域信道矩阵，实现了快速收敛的逐行训练和估计。仿真结果表明，我们提出的CENet显著优于传统的LS和基于深度神经网络的方法。

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

IEEE Transactions on Vehicular Technology 工程技术-电信学

CiteScore

6.00

自引率

8.80%

发文量

1245

审稿时长

6.3 months

期刊介绍： The scope of the Transactions is threefold (which was approved by the IEEE Periodicals Committee in 1967) and is published on the journal website as follows: Communications: The use of mobile radio on land, sea, and air, including cellular radio, two-way radio, and one-way radio, with applications to dispatch and control vehicles, mobile radiotelephone, radio paging, and status monitoring and reporting. Related areas include spectrum usage, component radio equipment such as cavities and antennas, compute control for radio systems, digital modulation and transmission techniques, mobile radio circuit design, radio propagation for vehicular communications, effects of ignition noise and radio frequency interference, and consideration of the vehicle as part of the radio operating environment. Transportation Systems: The use of electronic technology for the control of ground transportation systems including, but not limited to, traffic aid systems; traffic control systems; automatic vehicle identification, location, and monitoring systems; automated transport systems, with single and multiple vehicle control; and moving walkways or people-movers. Vehicular Electronics: The use of electronic or electrical components and systems for control, propulsion, or auxiliary functions, including but not limited to, electronic controls for engineer, drive train, convenience, safety, and other vehicle systems; sensors, actuators, and microprocessors for onboard use; electronic fuel control systems; vehicle electrical components and systems collision avoidance systems; electromagnetic compatibility in the vehicle environment; and electric vehicles and controls.