全递推型式线性预报法可视化仿真

Visual Simulation for Full-Recursive Type Algorithm of Linear Prediction

在数字通信系统中,由于信道的严重非线性失真,使得当发送数据信号通过该信道时,在接收端将产生符号间干扰,导致接收性能的严重衰落,如造成较高的误码率。为了改善系统性能,接收端必须通过信道均衡或序列估计消除信道畸变,因此很多盲均衡算法被相继提出。本文根据基于二阶统计量的盲均衡经典算法构造了全递推型式线性预报算法,利用SIMULINK提供的基本模块库及DSP模块库建立SIMO系统可视化仿真模型。在该系统模型下分别对三种信道情况进行仿真,给出误码率曲线并进行对比,对仿真结果进行分析。

In digital communication system, data signals are often transmitted through unknown channels, which may introduce severe linear distortion at the receiver. These inter-symbol interferences (ISI) can result in significant receiver performance degradation such as higher BER. To improve system performance, receivers must be designed to remove channel distortions through equalization or sequence estimation. So, many blind equalization algorithms were proposed. This paper proposed a full-recursive type algorithm of Linear Prediction based on second-order statistics (SOS), and its corresponding visual simulation model is set up with DSP blocks in SIMULINK. The performances of the above systems modulated under three different channels are analyzed, and the BER curves are given and compared.