Application of FPGA-based Adaptive Parameter RS Coding and Decoding in Atmospheric Laser Communication

This study explores the use of FPGA-based adaptive Reed-Solomon (RS) coding and decoding techniques in atmospheric laser communication systems. By simulating an indoor turbulence tank channel, the research identifies optimal RS parameters and develops a dynamic switching mechanism for real-time parameter adjustment. The experimental findings highlight that adaptively selecting appropriate values for the RS code parameters (n, k) can significantly mitigate bit error rates (BER) and improve system performance across varying channel conditions. In particular, the analysis reveals that increased received optical power effectively reduces BER, while higher transmission rates exacerbate BER under adverse channel conditions. The results also emphasize that adaptive parameter tuning becomes increasingly vital at higher transmission rates and in challenging environments, substantially enhancing the system's reliability and stability.