摘要
在多通道信道仿真系统中,通道之间幅相不一致会使系统性能恶化,因此通道均衡技术必不可少。与传统的均衡器设计不同,盲均衡算法无须训练序列,提高了系统效率,不干扰仿真流程。基于粒子群优化的改进恒模盲均衡算法是一种新的盲均衡算法,引入粒子群算法寻找均衡器的最优解,提高了算法的收敛速度。然而该算法对初始参数敏感,容易陷入局部最优,恒定权重和学习因子会使算法稳态均方误差变大,局部和全局搜索能力不均。针对上述问题,提出了一种基于混沌映射和高斯扰动的改进粒子群恒模盲均衡算法。经过仿真验证,所提算法性能有所提升。对算法初期设置的参数敏感性降低;稳定后的适应度降低0.011;在误码率达到10-3量级时,信噪比相较于传统算法降低更多;均方误差降低1.77 dB;码间干扰降低0.64 dB。此外,对比了不同的惯性权重方案,进一步验证了所提算法收敛速度更快,码间干扰更低。
In multi-channel communication simulation systems,inconsistencies in amplitude and phase between channels can degrade system performance,making channel equalization technology essential.Unlike traditional equalizer designs,blind equalization algorithms do not require training sequences,improving system efficiency and not interfering with the simulation process.The improved constant modulus blind equalization algorithm based on particle swarm optimization is a new blind equalization method that introducing particle swarm optimization to find the optimal solution for the equalizer,thereby improving the convergence speed of the algorithm.However,this algorithm is sensitive to initial parameters and is prone to get stuck in local optimum.Constant weights and learning factors can increase the steady-state mean square error,resulting in uneven local and global search capabilities.To address these issues,an improved particle swarm constant modulus blind equalization algorithm based on chaotic-mapping and Gaussian perturbation was proposed.After simulation verification,the performance of the proposed algorithm has been improved.The sensitivity to parameters set in the early stages of the algorithm is reduced.The fitness decreases by 0.011 after stabilization.When the symbol error rate reaches 10-3 level,the signal-to-noise ratio decreases more compared to traditional algorithms.The mean square error is reduced by 1.77 dB,and intersymbol interference is reduced by 0.64 dB.In addition,by comparing different inertia weight schemes,it is further verified that the proposed algorithm achieves faster convergence speed and lower inter-symbol interference.
作者
胡爽
冯姣
张治中
李鹏
周华
HU Shuang;FENG Jiao;ZHANG Zhizhong;LI Peng;ZHOU Hua(School of Electronics and Information Engineering,Nanjing University of Information Science and Technology,Nanjing 210044,China)
出处
《电信科学》
北大核心
2025年第5期96-106,共11页
Telecommunications Science
基金
国家重点研发计划项目(No.2022YFB2902100)
江苏省重点研发计划项目(No.BE2023088)。
关键词
通道均衡
恒模盲均衡算法
粒子群优化
混沌映射
高斯扰动
channel equalization
constant modulus blind equalization algorithm
particle swarm optimization
chaotic-mapping
Gaussian perturbation
