TDM-MIMO Radar-Based Low-Altitude UAV Sensing and Communication

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.