TY - GEN
T1 - TDM-MIMO Radar-Based Low-Altitude UAV Sensing and Communication
AU - Tao, Yi
AU - Li, Zhuoran
AU - Gao, Zhen
AU - Mi, De
N1 - Publisher Copyright:
© 2025 IEEE.
PY - 2025
Y1 - 2025
N2 - Unmanned aerial vehicles (UAVs) operating in dynamic environments, such as those requiring interaction and virtual-real mapping precision for metaverse digital twins, need characteristics like real-time responsiveness and spatial consistency. To further enhance the capability of UAVs in complex environments while efficiently utilizing resources, integrated sensing and communication (ISAC) technology has been proposed as one of the key solutions. This paper proposes a pseudo-random time-division multiplexing (TDM)-multiple input multiple output (MIMO) millimeter-wave (mm-Wave) radar-based ISAC system for UAV swarm collaborative operations. An ISAC chirp waveform enables data modulation in the delay and Doppler domains while ensuring high-precision sensing. To address limitations in conventional TDM-MIMO, pseudo-random antenna selection and compressed sensing algorithms are introduced to maintain maximum unambiguous velocity and enhance modulation order. Chirp-Division multiple access (Chirp-Dma) is integrated with pseudo-random TDM-MIMO for dynamic time-frequency resource allocation and anti-jamming transmission. Additionally, an extended Kalman filter (EKF)-based scheme is utilized to improve parameter estimation and data demodulation accuracy.
AB - Unmanned aerial vehicles (UAVs) operating in dynamic environments, such as those requiring interaction and virtual-real mapping precision for metaverse digital twins, need characteristics like real-time responsiveness and spatial consistency. To further enhance the capability of UAVs in complex environments while efficiently utilizing resources, integrated sensing and communication (ISAC) technology has been proposed as one of the key solutions. This paper proposes a pseudo-random time-division multiplexing (TDM)-multiple input multiple output (MIMO) millimeter-wave (mm-Wave) radar-based ISAC system for UAV swarm collaborative operations. An ISAC chirp waveform enables data modulation in the delay and Doppler domains while ensuring high-precision sensing. To address limitations in conventional TDM-MIMO, pseudo-random antenna selection and compressed sensing algorithms are introduced to maintain maximum unambiguous velocity and enhance modulation order. Chirp-Division multiple access (Chirp-Dma) is integrated with pseudo-random TDM-MIMO for dynamic time-frequency resource allocation and anti-jamming transmission. Additionally, an extended Kalman filter (EKF)-based scheme is utilized to improve parameter estimation and data demodulation accuracy.
KW - Integrated sensing and communications
KW - metaverse digital twins
KW - millimeter-wave radar
KW - multiple input multiple output
KW - unmanned aerial vehicle
UR - https://www.scopus.com/pages/publications/105020792763
U2 - 10.1109/MetaCom65502.2025.00054
DO - 10.1109/MetaCom65502.2025.00054
M3 - Conference contribution
AN - SCOPUS:105020792763
T3 - Proceedings - 2025 International Conference on Metaverse Computing, Networking and Applications, MetaCom 2025
SP - 298
EP - 302
BT - Proceedings - 2025 International Conference on Metaverse Computing, Networking and Applications, MetaCom 2025
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 3rd IEEE International Conference on Metaverse Computing, Networking and Applications, MetaCom 2025
Y2 - 27 August 2025 through 29 August 2025
ER -