Experimental study on blind decision feedback equalizer using super-exponential algorithm for underwater channel

Based on the fast convergence speed characteristic of Super-exponential algorithm, a decision feedback structure blind equalizer is proposed, which is derived by revising the iteration equation of forward weight vector for decision feedback structure blind equalizer. The proposed method is with the fast convergence speed and good performance for tracking. By tank experiments, BPSK data is obtained with the required statistical characteristics for blind equalizers. Using the experimental data, comparison study on the performance of the proposed algorithm, the adaptive equalizer with decision feedback structure and constant modulus blind equalizers is carried out. It is shown that the proposed method can achieve a lower BER (Bit Error Rate) and faster convergence speed.