基于改进盲均衡算法的水声通信可靠性研究

关于水声信道通信优化问题,水声通信中复杂信道存在码间干扰极易影响通信质量,需要进行均衡提高通信数据的可靠性,传统的自适应均衡方法是通过发送训练序列对信道特性捕获并更新参数完成均衡,然而对于快速时变的信道,不能快速得到信道特性无法及时对通信均衡,造成均衡性能不强、水声通信数据可靠性不高。为此,提出改进的盲均衡算法,盲均衡算法不需发送训练序列,只需知道发送序列的统计特性就可对发送信息恢复,可保证均衡的及时性,在盲均衡的基础上采用小生境技术对其改进,优化盲均衡搜索到的最优解,从而提高均衡的性能。实验表明,小生境技术的改进盲均衡算法能够快速捕获信息特性并及时准确地对信号进行均衡,具有较高的均衡性能,保证了通信数据的可靠性,为水声信道优化提供了参考。

Blind Equalization Algorithm Based on Improved the Underwater Acoustic Communication Reliability Research

The underwater acoustic communication channel in the complex intersymbol interference easily influence the quality of communications,we need to improve the reliability of the data in the balanced communications.The traditional adaptive equilibrium method is sent through training sequence on the channel characteristic parameters and update complete capture equilibrium,but for a quick time-varying channel,cannot be quick get channel characteristic of communication is unable to equilibrium,cause balanced performance is not strong underwater acoustic communication data reliability is not high.For this,put forward the improvement of the blind equalization algorithm,blind equalization algorithm does not send training sequence,need to know the statistic characteristics of sending sequence can be sent the information recovery,can ensure balanced timeliness,in a blind balanced on the basis of its niche technology improvement,optimize the blind equalization to search the optimal solution,so as to improve the performance of the equilibrium experiments to show that the niching technique based on the improvement of the blind equalization algorithm to quickly capture information characteristics and timely and accurate signal,balanced,has the high balanced performance,and to ensure the reliability of the data communication.