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引用次数: 0
摘要
无处不在的无线网络和设备为利用相应的通信信号实现无线传感应用提供了独特的机会。在这篇文章中,我们开发了一种新的框架,通过伺机利用毫米波通信信号来实现环境传感。所提出的框架基于传统信号处理技术和神经网络(NN)信号处理技术的混合,用于在双静态环境中同时对环境中的多个目标进行计数和定位。在该框架中,首先从接收器估算的信道状态信息(CSI)中提取多模态延迟、多普勒和角度特征,然后设计一个利用注意力机制的基于变压器的神经网络架构(称为 CSIformer),以提取最有效的感测特征。我们还开发了一种基于 Kullback-Leibler (KL) 最小化的新型后处理技术,在计数和定位任务之间传递知识,从而简化了 NN 架构。我们的数值结果表明,精确的计数和定位能力明显优于基于纯传统信号处理技术的现有作品以及基于 NN 的方法。仿真代码请访问:https://github.com/University-of-Surrey-Mahdi/Attention-on-the-Preambles-Sensing-with-mmWave-CSI。
Attention on the Preambles: Sensing With mmWave CSI
The ubiquitous availability of wireless networks and devices provides a unique opportunity to leverage the corresponding communication signals to enable wireless sensing applications. In this article, we develop a new framework for environment sensing by opportunistic use of the mmWave communication signals. The proposed framework is based on a mixture of the conventional and Neural Network (NN) signal processing techniques for simultaneous counting and localization of multiple targets in the environment in a bi-static setting. In this framework, multi-modal delay, Doppler, angular features are first derived from the Channel State Information (CSI) estimated at the receiver, and then a transformer-based NN architecture exploiting attention mechanisms, called CSIformer, is designed to extract the most effective features for sensing. We also develop a novel post-processing technique based on Kullback-Leibler (KL) minimization to transfer knowledge between the counting and localization tasks, thereby simplifying the NN architecture. Our numerical results show accurate counting and localization capabilities that significantly outperform the existing works based on pure conventional signal processing techniques, as well as NN-based approaches. The simulation codes are available at:
https://github.com/University-of-Surrey-Mahdi/Attention-on-the-Preambles-Sensing-with-mmWave-CSI
.
期刊介绍:
The IEEE Open Journal of the Communications Society (OJ-COMS) is an open access, all-electronic journal that publishes original high-quality manuscripts on advances in the state of the art of telecommunications systems and networks. The papers in IEEE OJ-COMS are included in Scopus. Submissions reporting new theoretical findings (including novel methods, concepts, and studies) and practical contributions (including experiments and development of prototypes) are welcome. Additionally, survey and tutorial articles are considered. The IEEE OJCOMS received its debut impact factor of 7.9 according to the Journal Citation Reports (JCR) 2023.
The IEEE Open Journal of the Communications Society covers science, technology, applications and standards for information organization, collection and transfer using electronic, optical and wireless channels and networks. Some specific areas covered include:
Systems and network architecture, control and management
Protocols, software, and middleware
Quality of service, reliability, and security
Modulation, detection, coding, and signaling
Switching and routing
Mobile and portable communications
Terminals and other end-user devices
Networks for content distribution and distributed computing
Communications-based distributed resources control.