盲源分离算法及其在空时编码系统中的应用研究

Blind Source Separation Algorithm and its Application in the Space-Time Code System

盲源分离又称为独立分量分析,其过程是指在发射源信号和传输信道参数均未知的前提下,仅仅依靠观测信号来恢复源信号的每个独立成分。本文分析了现有几种盲分离算法结构,进行了算法仿真比较。对空时编码系统中的盲分离算法的应用进行了设计和仿真。通过仿真分析可知,在空时编码系统中使用盲分离算法可以有效减少噪声影响,对系统的稳定性有很大的提升。

Blind source separation is known as independent component analysis, whose process is that relying solely on the observation signal to restore each individual component of the source signal, under the emission source signal and transmission channel parameters unknown. This paper analyzes the structure of several blind separation algorithms and makes algorithms simulation comparison. In space-time coding system, blind separation algorithm is also used widely. The paper makes application design and simulation. Through the simulation a- nalysis, we know that using blind source separation algorithm in the space-time coding systems can effectively reduce the noise impact and improve the stability of the system greatly.