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首页> 外文期刊>Communications, China >Independent component analysis based blind adaptive interference reduction and symbol recovery for OFDM systems
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Independent component analysis based blind adaptive interference reduction and symbol recovery for OFDM systems

机译：基于独立成分分析的OFDM系统盲自适应干扰减少和符号恢复

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摘要

To overcome the inter-carrier interference (ICI) of orthogonal frequency division multiplexing (OFDM) systems subject to unknown carrier frequency offset (CFO) and multipath, this paper develops a blind adaptive interference suppression scheme based on independent component analysis (ICA). Taking into account statistical independence of subcarriers' signals of OFDM, the signal recovery mechanism is investigated to achieve the goal of blind equalization. The received OFDM signals can be considered as the mixed observation signals. The effect of CFO and multipath corresponds to the mixing matrix in the problem of blind source separation (BSS) framework. In this paper, the ICA-based OFDM system model is built, and the proposed ICA-based detector is exploited to extract source signals from the observation of a received mixture based on the assumption of statistical independence between the sources. The blind separation technique can increase spectral efficiency and provide robustness performance against erroneous parameter estimation problem. Theoretical analysis and simulation results show that compared with the conventional pilot-based scheme, the improved performance of OFDM systems is obtained by the proposed ICA-based detection technique
机译：为了克服正交频分复用（OFDM）系统在未知载波频率偏移（CFO）和多径情况下的载波间干扰（ICI），提出了一种基于独立分量分析（ICA）的盲自适应干扰抑制方案。考虑到OFDM子载波信号的统计独立性，研究了信号恢复机制以达到盲均衡的目的。所接收的OFDM信号可以被视为混合观测信号。 CFO和多路径的影响对应于盲源分离（BSS）框架问题中的混合矩阵。在本文中，建立了基于ICA的OFDM系统模型，并基于信源之间的统计独立性假设，利用提出的基于ICA的检测器从接收到的混合信号的观测中提取信源信号。盲分离技术可以提高频谱效率，并提供针对错误参数估计问题的鲁棒性能。理论分析和仿真结果表明，与传统的基于导频的方案相比，基于ICA的检测技术可以提高OFDM系统的性能。

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