摘要
在多径信道传输中,由于信道畸变而造成的符号间干扰是影响带限通信信道性能的重要因素之一。为提高系统性能,在接收端需采用均衡技术, 充分利用输出信号统计特性的盲信道均衡算法是现在的研究热点。由于信号在传输过程中,有信道先验知识或突发数据的先导字符等可以利用,因此半盲识别及均衡也具有很好的应用前景。本文从理论上对目前的盲和半盲均衡算法作了介绍,并在最后就以后的研究方向提出了作者的一些观点。
In multipath FIR channel transformation, the intersymbol interference caused by channel distortion is one of the main interferences which influence the performance of band-limited channels. In oder to enhance the performance of digital communications, equalization techniques must be adopted at the receiver. Blind equalization algorithm, which makes best use of the statistics of the channel output signals, is a hot research topic. Because the prior knowledge of the channel and pilot symbols of burst date can be used, the semi-blind identification and equalizationhave also excellent application prospect. This paper introduces blind and semi-blind algorithm, and some viewpoints for future research are described at the end of the paper.
出处
《系统仿真学报》
CAS
CSCD
2002年第12期1606-1610,共5页
Journal of System Simulation
关键词
多径FIR
均衡
语音识别
盲识别
盲均衡
半盲识别
二阶矩
过采样
zero-forcing
blind identification
blind equalization
semi-blind identification
second order statistics
over-sampling