摘要
短波信道是一类时变衰落信道,受电离层影响,通信不稳定。目前普遍采用发送训练序列的方式,探测信道特性,实现短波信道均衡。基于帧数据处理技术,先进行信道辨识,在消除码间干扰的基础上,对用户数据进行估计的自适应均衡技术,实现短波信道均衡。从算法收敛、数据星座图映射方面进行了仿真,分析说明了该技术对短波信道均衡是有效的。并在此基础上,指出可从信道阶数估计、信道跟踪算法、信道初始状态估计等方面对该技术进行改进,以提高短波信道均衡的效果。
HF (high frequency) channel is a kind of time-variant and fading channel. Wire-less communication is not stable affected by ionosphere visa HF channel, whose equalization is widely achieved by transmitting training sequence to probe the channel property now. Based on frame data processing technology, HF channel identification is researched, and then user data is estimated to realize HF channel equalization based on the fact that ISI is eliminated. Its positive influence is analyzed to HF channel equalization from the simulation of algorithm convergence and constellation, and then the fact is pointed out that we can promote effects of channel equalization from the technology amelioration of channel tap number, channel tracking algorithm and channel initial state estimation.
出处
《计算机工程与设计》
CSCD
北大核心
2009年第5期1096-1098,共3页
Computer Engineering and Design
关键词
训练序列
自适应均衡
信道阶数
信道跟踪
星座图
training sequence
adaptive equalization
channel tap number
channel tracking
constellation