A Novel Algorithm for Multi-Target Angle and Range-Velocity Estimation With MIMO-OFDM Communication Waveforms

In this letter, we address the challenge of employing multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) to simultaneously estimate the range, velocity, and angle of multiple moving targets at the transmitter, while maintaining communication. Specifically, we present a mathematical model for radar sensing signal processing and elaborate on a successive estimation scheme. We reveal that the compensation processing algorithm proposed in existing successive estimation scheme suffers from the problem of ambiguous matching, which fails to properly match the angle and the range-velocity for targets with close angles. To address the ambiguous matching problem, this letter proposes a novel compensation processing algorithm for range-velocity estimation. Based on minimum variance unbiased estimation, the proposed compensation processing algorithm fully exploits the estimated angle information to extract corresponding range-velocity information for eliminating the interference from targets at close angles.