Compressed Sensing Based Indoor Visible Light Positioning for Multiple Targets with Cooperation

In this paper, we propose a cooperative multiple targets positioning method using multi-measurement vector compressed sensing (MCS) for indoor industrial environments. The proposed method capitalizes on the inherent sparsity of spatially distributed targets, enabling accurate simultaneous localization. In our scheme, positioning signals emitted from LED anchors are processed through autocorrelation techniques, while leveraging cooperative information among multiple targets to obtain time difference of arrival (TDOA) measurements. By aggregating TDOA measurements collected from multiple spatially diverse LED reference anchors (RAs), an effective MCSbased model for cooperative multiple targets VLP is developed. Simulation results confirm that the proposed scheme provides robust and accurate localization performance, even in complex indoor conditions.