A Low-Complexity Denoising and Fine Estimation Algorithm for MIMO Radar

Abstract

This article proposes a multiple-input multiple-output (MIMO) radar denoising and fine estimation (DFE) algorithm. The DFE algorithm enables fine parameter estimation and efficient cancellation of the detected reflection signals, thereby providing a cleaner range-Doppler map and mitigating the intertarget interference. Further, we introduce a code-space-orthogonal phase-modulated continuous waveform (CSO-PMCW) integrated sensing and communications (ISAC) system, which achieves much higher throughput than conventional PMCW while inheriting its advantages in radar and antiinterference performance. The DFE algorithm is integrated into the CSO-PMCW system, and its applicability to other radar waveforms is explained. Simulation results demonstrate that the DFE algorithm can achieve at least a tenfold improvement in range, velocity, and angular accuracy without significantly increased computational burden.