An Ambiguity-Function-Assisted Active Sensing Scheme for OFDM-Based ISAC Systems Toward Low-Altitude Airspace

IF 8.9 1区 计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS IEEE Internet of Things Journal Pub Date : 2025-02-12 DOI:10.1109/JIOT.2025.3541389
Xiaochen Xia;Zhiyu Fang;Kui Xu;Wei Xie
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Abstract

The drastic growth of the low-altitude airspace (LAA) applications, such as over the horizon control, low-altitude logistic, and all-time supervision, produces strong demands for communication and sensing services toward LAA. Under the idea of integrated sensing and communication (ISAC), this work investigates the low-complexity/high-accuracy active sensing problem toward LAA using a communication information-bearing orthogonal frequency division multiplexing (OFDM) waveform. A general and structured fast/slow-time representation for the OFDM input-output relation is first derived, which can clearly show the effects of delay and Doppler frequency shift (or equivalently, range and radial velocity of target) on the received echo. Based on the fast/slow-time representation, an ambiguity function (AF)-assisted active sensing scheme for the OFDM-based ISAC system is proposed. The scheme consists of three modules, i.e., a coarse search and triangular AF matching module, a gradient-based fine tune module and a modified cell-averaging constant false alarm rate (CA-CFAR) target detection module, which work coordinately to realize joint target detection and high-accuracy target range/velocity estimation. Simulation results show that the proposed scheme can realize better detection reliability and range/velocity estimation accuracy with much less computations than the reference schemes.
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基于OFDM的低空ISAC系统模糊函数辅助主动感知方案
低空空域(LAA)应用的急剧增长,如超视距控制、低空后勤和全天候监督,对低空空域的通信和传感服务产生了强烈的需求。在集成传感与通信(ISAC)的思想下,本文研究了基于通信信息的正交频分复用(OFDM)波形的LAA低复杂度/高精度主动传感问题。首先推导了OFDM输入输出关系的一般结构化快/慢时间表示,可以清楚地显示延迟和多普勒频移(即目标的距离和径向速度)对接收回波的影响。在快慢时间表示的基础上,提出了一种模糊函数辅助的基于ofdm的ISAC系统主动感知方案。该方案由粗搜索和三角AF匹配模块、基于梯度的微调模块和改进的细胞平均恒虚警率(CA-CFAR)目标检测模块三个模块组成,它们协同工作,实现联合目标检测和高精度目标距离/速度估计。仿真结果表明,与参考方案相比,该方案的计算量大大减少,可实现更高的检测可靠性和距离/速度估计精度。
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来源期刊
IEEE Internet of Things Journal
IEEE Internet of Things Journal Computer Science-Information Systems
CiteScore
17.60
自引率
13.20%
发文量
1982
期刊介绍: The EEE Internet of Things (IoT) Journal publishes articles and review articles covering various aspects of IoT, including IoT system architecture, IoT enabling technologies, IoT communication and networking protocols such as network coding, and IoT services and applications. Topics encompass IoT's impacts on sensor technologies, big data management, and future internet design for applications like smart cities and smart homes. Fields of interest include IoT architecture such as things-centric, data-centric, service-oriented IoT architecture; IoT enabling technologies and systematic integration such as sensor technologies, big sensor data management, and future Internet design for IoT; IoT services, applications, and test-beds such as IoT service middleware, IoT application programming interface (API), IoT application design, and IoT trials/experiments; IoT standardization activities and technology development in different standard development organizations (SDO) such as IEEE, IETF, ITU, 3GPP, ETSI, etc.
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