An Improved Channel Estimation Scheme Based on Compressed Sensing for an Orthogonal Frequency Division Multiplexing Visible Light Communication System

In order to enhance the channel estimation accuracy, we improved the optical orthogonal frequency division multiplexing channel estimation scheme based on compressed sensing(CS) and estimation of signal parameters via rotational invariance techniques. First, we derived a parametric channel model. then, we used ESPRIT to get multipath channel parameters. After that, we improve the dynamic over-complete dictionary's dimension that can get more accuracy result in CS processing. Finally, we use the dictionary to reconstruct the channel response by using greedy algorithm. compared with original method, the improved scheme can get more accuracy result.