Integrated Detection of Respiration and Heartbeat With Communication Capabilities Using OFDM-LFM-MP Signals
To address the evolving demands of intelligent networks, integrated sensing and communication (ISAC) has emerged as a focal area of research. This encompasses innovative signal design, radar-based and communication hardware integration, and other vital directions. In particular, Linear Frequency Mod...
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| Format: | Article |
| Language: | English |
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IEEE
2025-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/10820331/ |
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| author | Zhaoshen Dong Yan Liu Yukai Ouyang |
| author_facet | Zhaoshen Dong Yan Liu Yukai Ouyang |
| author_sort | Zhaoshen Dong |
| collection | DOAJ |
| description | To address the evolving demands of intelligent networks, integrated sensing and communication (ISAC) has emerged as a focal area of research. This encompasses innovative signal design, radar-based and communication hardware integration, and other vital directions. In particular, Linear Frequency Modulated (LFM) signals have shown considerable promise in contactless health monitoring applications. This paper presents an integrated radar system design leveraging Orthogonal Frequency Division Multiplexing (OFDM) LFM signals, emphasizing the dual capabilities of communication and sensing. Compared to traditional radar signals, the proposed design enhances information transmission without sacrificing sensing performance. Initially, we developed an OFDM-LFM-MP signal by utilizing M-sequences with strong auto-correlation properties for coding communication data. Subsequently, we conduct MATLAB simulations to evaluate the sensing efficacy of the OFDM-LFM-MP signal in detecting heartbeats and respiration alongside its communication performance. Theoretical analyses and simulation outcomes demonstrate that the proposed radar-based integration design significantly improves the detection of heartbeat and respiration while effectively transmitting high-rate information at a signal-to-noise ratio (SNR) exceeding <inline-formula> <tex-math notation="LaTeX">$20~dB$ </tex-math></inline-formula>. |
| format | Article |
| id | doaj-art-536ff3d85bd741ecab23e37f15a8484d |
| institution | Kabale University |
| issn | 2169-3536 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-536ff3d85bd741ecab23e37f15a8484d2025-01-10T00:01:13ZengIEEEIEEE Access2169-35362025-01-01134021403310.1109/ACCESS.2024.352505810820331Integrated Detection of Respiration and Heartbeat With Communication Capabilities Using OFDM-LFM-MP SignalsZhaoshen Dong0https://orcid.org/0009-0002-8200-4576Yan Liu1https://orcid.org/0009-0006-1261-0545Yukai Ouyang2https://orcid.org/0009-0003-6810-6389Department of Electrical and Electronic Engineering, The Hong Kong Polytechnic University, Hung Hom, Hong KongDepartment of Electrical and Electronic Engineering, The Hong Kong Polytechnic University, Hung Hom, Hong KongDepartment of Electrical and Electronic Engineering, The Hong Kong Polytechnic University, Hung Hom, Hong KongTo address the evolving demands of intelligent networks, integrated sensing and communication (ISAC) has emerged as a focal area of research. This encompasses innovative signal design, radar-based and communication hardware integration, and other vital directions. In particular, Linear Frequency Modulated (LFM) signals have shown considerable promise in contactless health monitoring applications. This paper presents an integrated radar system design leveraging Orthogonal Frequency Division Multiplexing (OFDM) LFM signals, emphasizing the dual capabilities of communication and sensing. Compared to traditional radar signals, the proposed design enhances information transmission without sacrificing sensing performance. Initially, we developed an OFDM-LFM-MP signal by utilizing M-sequences with strong auto-correlation properties for coding communication data. Subsequently, we conduct MATLAB simulations to evaluate the sensing efficacy of the OFDM-LFM-MP signal in detecting heartbeats and respiration alongside its communication performance. Theoretical analyses and simulation outcomes demonstrate that the proposed radar-based integration design significantly improves the detection of heartbeat and respiration while effectively transmitting high-rate information at a signal-to-noise ratio (SNR) exceeding <inline-formula> <tex-math notation="LaTeX">$20~dB$ </tex-math></inline-formula>.https://ieeexplore.ieee.org/document/10820331/Contactless health monitoringhigh-rate informationISACM-sequencesOFDM-LFM-MP signalradar-based integration design |
| spellingShingle | Zhaoshen Dong Yan Liu Yukai Ouyang Integrated Detection of Respiration and Heartbeat With Communication Capabilities Using OFDM-LFM-MP Signals IEEE Access Contactless health monitoring high-rate information ISAC M-sequences OFDM-LFM-MP signal radar-based integration design |
| title | Integrated Detection of Respiration and Heartbeat With Communication Capabilities Using OFDM-LFM-MP Signals |
| title_full | Integrated Detection of Respiration and Heartbeat With Communication Capabilities Using OFDM-LFM-MP Signals |
| title_fullStr | Integrated Detection of Respiration and Heartbeat With Communication Capabilities Using OFDM-LFM-MP Signals |
| title_full_unstemmed | Integrated Detection of Respiration and Heartbeat With Communication Capabilities Using OFDM-LFM-MP Signals |
| title_short | Integrated Detection of Respiration and Heartbeat With Communication Capabilities Using OFDM-LFM-MP Signals |
| title_sort | integrated detection of respiration and heartbeat with communication capabilities using ofdm lfm mp signals |
| topic | Contactless health monitoring high-rate information ISAC M-sequences OFDM-LFM-MP signal radar-based integration design |
| url | https://ieeexplore.ieee.org/document/10820331/ |
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