火力与指挥控制2024，Vol.49Issue(4)：31-37,7.DOI:10.3969/j.issn.1002-0640.2024.04.005
脉冲噪声下AUV水声通信盲均衡算法模拟仿真
Simulation on Blind Equalization Algorithm for AUV Underwater Acoustic Communication under Impulse Noise
摘要
Abstract
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.关键词
AUV/水声信道/脉冲噪声/盲均衡/变步长Key words
AUV/underwater acoustic channel/impulse noise/blind equalization/variable step-size分类
信息技术与安全科学引用本文复制引用
唐军,邓兆才,党召凯,李传清..脉冲噪声下AUV水声通信盲均衡算法模拟仿真[J].火力与指挥控制,2024,49(4):31-37,7.基金项目
国家自然科学基金资助项目(51864015) （51864015）
