Enhancing Symbol Rate in Indoor Visible Light Communication Through Equalization Techniques

In indoor visible light communication systems, we can enhance data transmission rates through the application of equalization techniques. Equalization technology serves as a signal conditioning method during transmission, ensuring signal stability and reliability. By implementing equalization algorithms such as linear equalizers (Zero-Forcing or MMSE) or nonlinear equalizers (Decision Feedback Equalization), we can effectively compensate for channel distortions caused by multipath propagation and limited LED bandwidth. The implementation typically involves estimating channel characteristics using training sequences and applying inverse filters to mitigate intersymbol interference. This approach enables more efficient data transmission, thereby increasing communication speeds. Consequently, equalization techniques play a crucial role in boosting symbol rates for indoor visible light communication systems, with key functions including channel estimation, filter coefficient calculation, and real-time signal correction.