An ESPRIT-Based Moving Target Sensing Method for MIMO-OFDM ISAC Systems

Abstract

Integrated sensing and communications (ISAC) has recently attracted lots of research interest, in which using the MIMO-OFDM system to sense the moving targets is an important task. However, the existing FFT-based moving target sensing methods are severely limited by grid resolution, and the sensing scheme based on a single base station (BS) can only obtain the radial velocity of the target. To alleviate these issues, this letter transforms the problem of moving target sensing into a generalized array signal form, and then a moving target estimation method based on ESPRIT algorithm is proposed, realizing super-resolution and low-complexity estimation of target parameters. Moreover, we propose an actual velocity estimation scheme based on double BSs, in which the two-dimensional actual velocity vector can be estimated based on the radial velocities and the geometric relationship. Simulation results are provided to demonstrate the effectiveness of the proposed schemes.