A Novel Parallel Blind Equalizer for Underwater Acoustic Based on Dual Mode
Zhi Sheng Lv, Bin Feng, Li Tan · 2021 7th International Conference on Computer and Communications (ICCC) · 2021
Because of the complexity and time variability of underwater acoustic channel, the convergence speed and robustness of equalizer is significant for underwater acoustic communication system. In order to improve the performance of equalizer, a novel parallel blind equalizer based on constant modulus algorithm (CMA) and decision directed (DD) algorithm is proposed. According to the errors of the two algorithms, the parallel equalizer adjusts their proportion factor and iteration step size adaptively. In addition, a restart mechanism is established to improve the channel tracking ability of the equalizer. The experimental simulation results show that the proposed parallel equalizer can converge stably for different channels, with faster convergence speed and smaller steady-state residual error than both of the CMA and the DD equalizers, and can track the channel changes quickly.