  In this paper, a compressed sensing (CS) based framework of multi-target
cooperative visible light positioning (VLP) is formulated to realize
simultaneous highaccuracy localization of multiple targets. The light emitting
diodes (LEDs) intended for illumination are utilized to locate multiple target
mobile terminals equipped with photodetectors. The indoor area can be divided
into a two-dimensional grid of discrete points, and the targets are located in
only a few grid points, which has a sparse property. Thus, the multitarget
localization problem can be transferred into a sparse recovery problem.
Specifically, a CS-based framework is formulated exploiting the superposition
of the received visible light signals at the multiple targets to be located via
intertarget cooperation. Then it can be efficiently resolved using CS-based
algorithms. Moreover, inter-anchor cooperation is introduced to the CS-based
framework by the crosscorrelation between the signals corresponding to
different LEDs, i.e., anchors, which further improves the localization
accuracy. Enabled by the proposed CS-based framework and the devised
cooperation mechanism, the proposed scheme can simultaneously locate multiple
targets with high precision and low computational complexity. Simulation
results show that the proposed schemes can achieve centimeter-level multitarget
positioning with sub-meter accuracy, which outperforms existing benchmark
schemes.
