Using turbo codes with layered space-time coding for MIMO wireless systems

M.N.A. El Massih, M. Aziz, S. Ramly
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Abstract

Digital communications using multi-input multi-output (MIMO) has recently emerged as one of the most significant technical breakthroughs in modern communications [1] as they offer remarkable spectral efficiency. Among many types of space-time codes, the layered space-time codes (LST) [2] offer a multiplexing gain of ntau (number of transmit antennas) rather than diversity gain offered by space-time block and trellis codes [3]-[5].[6]. Turbo codes [7] are considered novel and revolutionary error-control coding technique because they offer a remarkable performance using an iterative process at the receiver. This iterative process uses a soft input soft-output decoder such as maximum a posteriori probability (MAP) [8] decoder or soft output Viterbi algorithm (SOVA)[9],[10]. In this paper it is proposed to use turbo codes in conjunction with different LST architectures using parallel interference canceller (PIC) iterative receiver. MAP algorithm is used as the soft-input soft-output decoder. Simulation results show a great improvement compared to non-turbo LST systems.
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利用turbo码和分层空时编码实现MIMO无线系统
使用多输入多输出(MIMO)的数字通信最近成为现代通信中最重要的技术突破之一[1],因为它们提供了显着的频谱效率。在许多类型的空时码中,分层空时码(LST)[2]提供ntau(发射天线数)的多路复用增益,而不是空时块码和网格码[3]-[5].[6]提供的分集增益。Turbo码[7]被认为是新颖和革命性的错误控制编码技术,因为它们在接收端使用迭代过程提供了卓越的性能。该迭代过程使用软输入软输出解码器,如最大后验概率(MAP)[8]解码器或软输出Viterbi算法(SOVA)[9],[10]。本文提出将turbo码与不同的LST结构结合使用,采用并行干扰抵消(PIC)迭代接收机。采用MAP算法作为软输入软输出解码器。仿真结果表明,与非涡轮LST系统相比,该系统有很大的改进。
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