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A novel channel coding scheme for smart antenna based MC-CDMA systems mid two-step reduced complexity Multiuser Detection algorithm

机译:一种基于智能天线的MC-CDMA系统中两步降低复杂度的多用户检测算法的新信道编码方案

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In this paper, we propose a low rate bandwidth efficient channel coding scheme for MC-CDMA system so that by using it, the coded system without any extra bandwidth, significantly improves the performance of an un-coded system over fading channels. Moreover, we investigate the performance of multiple antennas array aided coded MC-CDMA system by employing different smart antennas techniques at the receiver and in order to reduce the search space and computational complexity of Maximum Likelihood (ML) post-FFT Multiuser Detection (MUD) technique, we propose a ML algorithm based on Sensitive Bits Algorithm (SBA) and Less Complex Norm Approximation (LCNA) based Euclidean distance. The performance and complexity of the proposed MUD algorithms are compared with nonlinear MMSE-SIC and ML MUD algorithms. It is shown that with a minimal penalty in performance compared to ML algorithm, the SBA-LCNA-based proposed two-step schemes for multiple antennas array aided coded MC-CDMA system have significant reduction in the complexity.
机译:在本文中,我们提出了一种用于MC-CDMA系统的低速率带宽高效信道编码方案,因此通过使用它,没有任何额外带宽的编码系统,显着提高了未编码系统在衰落通道上的性能。此外,我们通过在接收器处采用不同的智能天线技术来研究多个天线阵列辅助编码MC-CDMA系统的性能,以减少最大似然(ML)的搜索空间和计算复杂度(ML)的最大可能性多用户检测(MUD)技术,我们提出了一种基于敏感比特算法(SBA)的ML算法,基于基于欧几里德距离的较少的复杂范围近似(LCNA)。将所提出的泥浆算法的性能和复杂性与非线性MMSE-SIC和ML泥浆算法进行比较。结果表明,与ML算法相比,在性能中具有最小的惩罚,对于多个天线阵列辅助编码MC-CDMA系统的SBA-LCNA的提出的两步方案具有显着降低的复杂性。

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