Cooperative Object Detection and Parameter Estimation Using Visible Light Communications
This addresses indoor network reliability for VLC systems by enabling object detection to mitigate blockage, though it appears incremental as it builds on existing VLC and detection methods.
The paper tackles the problem of line-of-sight link blockage in visible light communication systems by developing a probabilistic method to detect and estimate the location and size of objects modeled as cylinders, achieving root-mean-squared errors of less than 1 cm for center estimation and 8 cm for radius estimation.
Visible light communication (VLC) systems are promising candidates for future indoor access and peer-to-peer networks. The performance of these systems, however, is vulnerable to the line of sight (LOS) link blockage due to objects inside the room. In this paper, we develop a probabilistic object detection method that takes advantage of the blockage status of the LOS links between the user devices and transceivers on the ceiling to locate those objects. The target objects are modeled as cylinders with random radii. The location and size of an object can be estimated by using a quadratic programming approach. Simulation results show that the root-mean-squared error can be less than $1$ cm and $8$ cm for estimating the center and the radius of the object, respectively.