{"title":"MIMO-OFDM Imaging Using Shared Time and Bandwidth","authors":"Mehmet Yazgan;Hüseyin Arslan;Stavros Vakalis","doi":"10.1109/OJCOMS.2025.3573583","DOIUrl":null,"url":null,"abstract":"Multiple-input multiple-output (MIMO) orthogonal frequency-division multiplexing (OFDM) radar imaging has emerged as a promising approach for high-resolution environmental sensing, particularly in spectrally congested wireless environments. This paper presents a novel MIMO-OFDM imaging framework that enables simultaneous transmission from multiple antennas without relying on conventional time-division multiplexing (TDM) or frequency-division multiplexing (FDM) techniques. The proposed method preserves the standard OFDM communication waveform, eliminating the need for additional interference mitigation strategies. Two transmit (Tx) and two receive (Rx) antennas operate within a 400 MHz bandwidth at carrier frequencies of 2.4 GHz and 2.415 GHz, each transmitting independently modulated quadrature amplitude modulation (QAM) symbols. Theoretical analysis, simulations, and experimental measurements demonstrate that high-fidelity object reconstruction is achieved despite overlapping spectral and temporal resources. The results validate the feasibility of this approach for efficient spectral and temporal resource utilization in wireless sensing applications, making it favorable for existing and upcoming wireless applications with a massive number of active sensing devices, such as joint-radar and communications (JRC) and the Internet of Everything (IoE).","PeriodicalId":33803,"journal":{"name":"IEEE Open Journal of the Communications Society","volume":"6 ","pages":"4885-4893"},"PeriodicalIF":6.3000,"publicationDate":"2025-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11015606","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Open Journal of the Communications Society","FirstCategoryId":"1085","ListUrlMain":"https://ieeexplore.ieee.org/document/11015606/","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
Abstract
Multiple-input multiple-output (MIMO) orthogonal frequency-division multiplexing (OFDM) radar imaging has emerged as a promising approach for high-resolution environmental sensing, particularly in spectrally congested wireless environments. This paper presents a novel MIMO-OFDM imaging framework that enables simultaneous transmission from multiple antennas without relying on conventional time-division multiplexing (TDM) or frequency-division multiplexing (FDM) techniques. The proposed method preserves the standard OFDM communication waveform, eliminating the need for additional interference mitigation strategies. Two transmit (Tx) and two receive (Rx) antennas operate within a 400 MHz bandwidth at carrier frequencies of 2.4 GHz and 2.415 GHz, each transmitting independently modulated quadrature amplitude modulation (QAM) symbols. Theoretical analysis, simulations, and experimental measurements demonstrate that high-fidelity object reconstruction is achieved despite overlapping spectral and temporal resources. The results validate the feasibility of this approach for efficient spectral and temporal resource utilization in wireless sensing applications, making it favorable for existing and upcoming wireless applications with a massive number of active sensing devices, such as joint-radar and communications (JRC) and the Internet of Everything (IoE).
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.