摘要
研究时变多途环境下水声信道通信优化问题。在海底下水声信道的频带有限,声波受到信道畸形干扰,造成反射和散射,使接收端接受的信号发生多途效应。效应特点是时变的,形成通信干扰。传统的自适应均衡技术需要不断的对滤波器参数进行调整,大幅降低了信道的利用率,造成均衡性变差。为了解决上述问题,提出改进遗传算法的水声信道盲均衡方法。构建参数调整概率感知模型网络,定义一个参数调整均衡系数用以表示水声信道的均衡程度,以网络的均衡系数为优化目标,利用遗传算法进行求解,得到最优均衡效果。仿真结果表明,均衡算法能够达到较高信道利用率,降低干扰。
The optimization problem of underwater acoustic channel communication in time-varying multiplicity environment was researched. The band of underwater acoustic channel is limited in the sea, and the sound wave is af- fected by channel deformity interference. In order to solve this problem, an improved underwater acoustic channel blind equalization method based on genetic algorithm was proposed. The parameter adjustment probability perception model network was constructed. A parameter adjustment equilibrium coefficient was defined for representing the un- derwater acoustic channel equalization degree. Network equilibrium coefficient was referred as optimized object. The genetic algorithm was used, and the best equalization effect was obtained. Simulation result shows that the equalization algorithm can achieve higher channel utilization rate, and the interference can be reduced.
出处
《计算机仿真》
CSCD
北大核心
2014年第1期204-207,共4页
Computer Simulation
基金
河南省教育厅科学技术研究重点项目(12B520075)
关键词
时变
多途环境
水声信道
遗传算法
Time-varying
Multiplicity environment
Underwater acoustic channel
Genetic algorithm
