Target location and velocity estimation with the multistatic MU‐MIMO‐OFDM modulation signal

Abstract In passive radar and joint communication sensing (JCRS), target with the multiuser multiple input output orthogonal frequency division multiplexing (MU‐MIMO‐OFDM) modulation signal is gaining increasing interest. Multiple transmit nodes emitting MU‐MIMO‐OFDM signals at same carrier one receiver collecting target‐reflected for location velocity estimation are considered. This a typical scenario when using fifth‐generation (5G) network sensing. this scenario, echo corresponding to different not resolved in receiver, modulated data symbols cannot be removed from received signals. Most traditional parameter methods JCRS may suitable here. A method proposed. Specifically, parameters extracted directly The cast into block sparse vector reconstruction problem. variational Bayesian sparsity learning (VBSL) exploited of vector. Accelerated VBSL developed improving computational efficiency. Simulations verify effectiveness proposed methods.