Logarithmic Type Constant Modulus Blind Equalization Algorithm Based on Maximum Correlation Entropy Criterion

In response to the problem of poor robustness and unstable convergence of the maximum correlation entropy constant modulus blind equalization algorithm in strong pulse noise environments, a logarithmic type constant modulus blind equalization algorithm based on the maximum correlation entropy criterion is proposed. Firstly, by utilizing the nonlinear transformation characteristics of the logarithmic function, the cost function of the maximum correlation entropy constant modulus blind equalization algorithm is modified to adaptively weaken the adverse effects of strong pulse noise on the received signal; Secondly, stability analysis was conducted to ensure that the algorithm can converge stably; Finally, the algorithm was simulated in different channel environments, and the results showed that the logarithmic type constant modulus blind equalization algorithm based on the maximum correlation entropy criterion not only simultaneously improves convergence performance and steady-state performance, but also significantly improves its ability to suppress strong pulse noise interference, demonstrating strong robustness.