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Orthogonal frequency division multiplexing (OFDM)-based integrated sensingand communication (ISAC) is promising for future sixth-generation mobilecommunication systems. Existing works focus on the joint estimation of thetargets' range and velocity for OFDM-based ISAC systems. In contrast, thispaper studies the three-dimensional joint estimation (3DJE) of range, velocity,and azimuth for OFDM-based ISAC systems with multiple receive antennas. First,we establish the signal model and derive the Cramer-Rao bounds (CRBs) on the3DJE. Furthermore, an auto-paired super-resolution 3DJE algorithm is proposedby exploiting the reconstructed observation sub-signal's translationalinvariance property in the time, frequency, and space domains. Finally, withthe 5G New Radio parameter setup, simulation results show that the proposedalgorithm achieves better estimation performance and its root mean square erroris closer to the root of CRBs than existing methods.

Joint Range-Velocity-Azimuth Estimation for OFDM-Based Integrated Sensing and Communication