A novel channel model for UAV-to-ground links in integrated sensing and communication scenarios

IF 2.2 4区 计算机科学 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC
Guixin Pan , Honghui Xu , Yanbo Zhang , Wenbin Li , Kang Kang , Tianyi Liu
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引用次数: 0

Abstract

Integrated sensing and communication (ISAC) is believed to play a crucial function in the sixth generation wireless communication networks. The channel model is a key element for optimizing and evaluating ISAC systems and technologies. In this paper, we propose a unmanned aerial vehicle (UAV)-to-ground ISAC channel model for low-altitude scenarios, providing a theoretical foundation for typical low-altitude ISAC applications such as unauthorized UAV target localization and invasion detection. The model captures both the non-stationarity induced by UAV motion and the intrinsic correlations between different channels. Firstly, to comprehensively characterize practical low-altitude scenarios that involve target UAVs, UAV terminals, and environmental objects, we model the ISAC channel as an integrated target and background channels. Specifically, the target channel encompasses all elements effected by the target UAV. The background channel includes other elements not belonging to the target channel. Secondly, the target channel is modeled as a concatenation of three components: the transmitter-target link, the target-receiver link, and the scattering response of the target UAV. To generate parameters of the target channel at both large and small scales, a concatenated approach is introduced. Additionally, a UAV-to-ground ISAC channel implementation framework is proposed to jointly generate the background and target channels. Finally, we performed measurements of the target UAV’s scattering response, deriving several key conclusions. Simulation results further validate the effectiveness of the introduced concatenated approach and the veracity of the proposed channel model.
集成传感和通信场景中无人机对地链路的一种新型信道模型
集成传感与通信(ISAC)被认为在第六代无线通信网络中起着至关重要的作用。通道模型是优化和评估ISAC系统和技术的关键因素。本文提出了一种低空场景下无人机对地ISAC通道模型,为非授权无人机目标定位和入侵检测等典型低空ISAC应用提供理论基础。该模型既捕获了无人机运动引起的非平稳性,又捕获了不同信道之间的内在相关性。首先,为了全面表征涉及目标无人机、无人机终端和环境目标的实际低空场景,我们将ISAC通道建模为目标和背景的集成通道。具体来说,目标信道包含了受目标无人机影响的所有元素。背景通道包括不属于目标通道的其他元素。其次,将目标信道建模为发射-目标链路、目标-接收链路和目标无人机的散射响应三部分的串联。为了在大尺度和小尺度上生成目标通道的参数,引入了一种串联方法。此外,提出了一种无人机对地ISAC信道实现框架,用于联合生成背景信道和目标信道。最后,我们对目标无人机的散射响应进行了测量,得出了几个关键结论。仿真结果进一步验证了所引入的连接方法的有效性和所提出信道模型的准确性。
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
Physical Communication
Physical Communication ENGINEERING, ELECTRICAL & ELECTRONICTELECO-TELECOMMUNICATIONS
CiteScore
5.00
自引率
9.10%
发文量
212
审稿时长
55 days
期刊介绍: PHYCOM: Physical Communication is an international and archival journal providing complete coverage of all topics of interest to those involved in all aspects of physical layer communications. Theoretical research contributions presenting new techniques, concepts or analyses, applied contributions reporting on experiences and experiments, and tutorials are published. Topics of interest include but are not limited to: Physical layer issues of Wireless Local Area Networks, WiMAX, Wireless Mesh Networks, Sensor and Ad Hoc Networks, PCS Systems; Radio access protocols and algorithms for the physical layer; Spread Spectrum Communications; Channel Modeling; Detection and Estimation; Modulation and Coding; Multiplexing and Carrier Techniques; Broadband Wireless Communications; Wireless Personal Communications; Multi-user Detection; Signal Separation and Interference rejection: Multimedia Communications over Wireless; DSP Applications to Wireless Systems; Experimental and Prototype Results; Multiple Access Techniques; Space-time Processing; Synchronization Techniques; Error Control Techniques; Cryptography; Software Radios; Tracking; Resource Allocation and Inference Management; Multi-rate and Multi-carrier Communications; Cross layer Design and Optimization; Propagation and Channel Characterization; OFDM Systems; MIMO Systems; Ultra-Wideband Communications; Cognitive Radio System Architectures; Platforms and Hardware Implementations for the Support of Cognitive, Radio Systems; Cognitive Radio Resource Management and Dynamic Spectrum Sharing.
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