脉冲噪声下AUV水声通信盲均衡算法模拟仿真OA北大核心CSTPCD

For the problem that the conventional constant-mode blind equalization algorithm(CMA)cannot converge stably in underwater acoustic channels with α-stable distribution noise,a variable step-size fractional low-order blind equalization algorithm(SAPSO-VSS-FLOSCMA)based on the optimization of simulated annealing particle swarm algorithm is proposed.The algorithm uses the cost function of FLOSCMA as the fitness function of the SAPSO algorithm,and uses the SAPSO algorithm to search for the global optimal solution instead of the initial weight vector of the blind equalizer,the steady-state error of the FLOSCMA algorithm is reduced,and the hyperbolic tangent function is utilized to adjust the step size factor of the FLOSCMA algorithm to accelerate the convergence speed of the algorithm.The simulation results of the underwater acoustic channel show that the SAPSO-VSS-FLOSCMA algorithm improves the convergence speed and steady-state error and has a lower BER than that of the CMA and FLOSCMA.