An ESPRIT-Based Moving Target Sensing Method for MIMO-OFDM ISAC Systems
Yang Xiang, Yuxing Gao, Xinru Yang, Shanqing Kang, M. A. Shao
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.