ABSTRACT

Wireless communication over Multiple Input and Multiple Output (MIMO) channel achieve increased transmission rate by dividing the input stream into a multitude of parallel data streams which are transmitted in parallel. Precoding at the transmitter aims to decompose the channel into an uncorrelated multiple subchannels using the channel decomposition technique so that data streams will be sent in parallel independent subchannels. The proposed analysis is to analyze the performances of the MIMO precoder using various channel decomposition algorithms are compared and its computational complexity is analyzed. The channel decomposition schemes considered are Singular Value Decomposition, Geometric Mean Decomposition, LDL^H, LU, Schur, QR and Jordan decomposition. The simulation and analytical results confirm that precoding for the MIMO channel decomposed by the QR scheme outperforms all the other precoding methods based on channel decomposition in the light of Bit Error Rate performance and involves a relatively lesser number of Floating Point Operations.

摘要

多输入多输出 (MIMO) 信道上的无线通信通过将输入流划分为多个并行传输的并行数据流来提高传输速率。发送端预编码的目的是利用信道分解技术将信道分解为不相关的多个子信道，从而使数据流在并行独立的子信道中发送。所提出的分析是通过比较各种信道分解算法来分析 MIMO 预编码器的性能，并分析其计算复杂度。考虑的通道分解方案有奇异值分解、几何均值分解、LDL ^H、LU、Schur、QR 和 Jordan 分解。仿真和分析结果证实，就误码率性能而言，QR方案分解的MIMO信道预编码优于所有其他基于信道分解的预编码方法，并且涉及相对较少数量的浮点运算。