Abstract
The fusion of radar sensing and wireless communication has sparked much
interest in the research of integrated sensing and communication (ISAC)
systems, among which using MIMO-OFDM systems to sense moving targets is
a key task. However, the existing FFT-based moving target parameter
estimation methods are severely limited by grid resolution limitations,
and the sensing scheme based on a single base station can only obtain
the radial velocity of the target.
This paper transforms the problem of estimating moving target parameters
into a generalized array signal form. A moving target estimation method
based on the ESPRIT algorithm is proposed, achieving super-resolution
and low-complexity estimation of target velocity and distance. Moreover,
we offer a target actual velocity estimation scheme based on double BSs,
in which the two-dimensional actual velocity vector can be estimated
based on the radial velocity and geometric relationship. Simulation
results have proved the effectiveness of the proposed scheme.