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首页> 外文期刊>AEU: Archiv fur Elektronik und Ubertragungstechnik: Electronic and Communication >Jammer suppression in spread spectrum communication using novel independent component analysis approach
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Jammer suppression in spread spectrum communication using novel independent component analysis approach

机译:使用新型独立分量分析方法的扩频通信中的干扰抑制

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摘要

Spread spectrum communications is an increasingly popular technique for use in diversity of systems. They are based on signaling schemes which greatly expand the bandwidth of the transmitted spectrum relative to the information bandwidth. Though, the gain is sufficient for proper performance of the system in most of the cases, additional interference suppression capability is needed when interference plays a dominant role. A novel adaptive scheme for jammer mitigation in Direct Sequence Spread Spectrum communication (DSSS) systems using independent component analysis (ICA) is proposed in this paper. This blind separation method provides jammer mitigation and recovers the data sequence from Binary Phase Shift Keying (BPSK) modulated signal as they arrive in a blind fashion. Extraction of the transmitted sequence from the received sequence is done with improved convergence speed compared to existing ICA algorithms. Simulations are carried but to illustrate the achieved performance of the proposed scheme for variable sequence lengths and different values of jammer power. The merits and limitations of the proposed ICA assisted jammer suppression scheme in comparison to Fast ICA assisted one are also discussed. The proposed method provides better SNR value compared to simple DSSS, Fast ICA based DSSS and other interference suppression schemes presented in the literature. (C) 2016 Elsevier GmbH. All rights reserved.
机译:扩频通信是一种用于系统多样性的日益流行的技术。它们基于信令方案,该方案极大地扩展了发射频谱相对于信息带宽的带宽。尽管在大多数情况下,增益足以满足系统的正常性能,但是当干扰起主要作用时,还需要额外的干扰抑制能力。提出了一种使用独立分量分析(ICA)的直接序列扩频通信(DSSS)系统中的干扰抑制自适应方案。这种盲分离方法可减轻干扰,并在二进制相移键控(BPSK)调制信号以盲目方式到达时恢复其数据序列。与现有ICA算法相比,从接收序列中提取传输序列的收敛速度提高了。进行了仿真,但是为了说明所提出的方案在可变序列长度和干扰功率的不同值下的性能。还讨论了与快速ICA辅助相比,所提出的ICA辅助干扰抑制方案的优缺点。与简单的DSSS,基于Fast ICA的DSSS和其他文献中提出的干扰抑制方案相比,该方法提供了更好的SNR值。 (C)2016 Elsevier GmbH。版权所有。

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