Channel Estimation Based on Improved Orthogonal Matching Pursuit Algorithm

Underwater wireless optical communication (UWOC) has evolved into a research hotspot due to its high-speed data transmission capability. However, underwater channels are very complex, and accurate channel estimation for complex channels is significant in high-speed UWOC today. Moreover, inaccurate channel models limit previous channel estimation. This paper presents a unique channel model, then an improved algorithm based on the OMP algorithm is presented. The algorithm employs angular sparsity in the near-field domain, polar domain sparsity in the far-field environment, and minimization of channel estimation error to enhance the algorithm’s accuracy. The presented algorithm is superior to existing algorithms according to the comparison of the results.