A Waveform Design for MIMO Sensing on Two-Dimensional Arrays with Sparse Estimation

With the increasing demand for target sensing in future mobile communication networks, integrated sensing and communications (ISAC) not only brings new system architecture and multi-functional integration, but also introduces new challenges. In order to further reduce the data volume of the sensing system signal processing, this paper proposes a waveform optimization design method and target parameter estimation technique for a compressed sensing multiple-input multiple-output (MIMO) radar based on a 2D antenna array. This scheme enables accurate estimation of target angles in the sparse time-domain sampling scenario and L-shaped antenna array. In this paper, extensive simulation results demonstrate the good performance of the proposed scheme for various compression ratios and signal-to-noise ratios (SNRs).