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A two-stage dynamic-based narrowband interference cancellation technique and its application to power-line communications

机译:基于动态的两阶段窄带干扰消除技术及其在电力线通信中的应用

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The problem of narrowband interference cancellation (NBIC) in chaos communication systems is investigated here. A novel two-stage NBIC algorithm based on a dynamic-based estimator called the minimum phase space volume technique is proposed. This two-stage NBIC algorithm can be applied to different kinds of chaos communication systems. In particular, two representative categories of chaos communication systems, namely, differential chaos shift keying and chaotic parameter modulation are considered here for the NBIC investigation. It is shown that the proposed two-stage NBIC algorithm is effective for both chaos communication systems. In addition, chaos based communication systems are found to have improved interference suppression capability with respect to the conventional statistic-based spread spectrum (SS) system. The proposed two-stage dynamic-based NBIC technique is applied to suppress NBI when the chaos modulation techniques are applied in power-line communications.
机译:这里研究了混沌通信系统中的窄带干扰消除(NBIC)问题。提出了一种基于动态估计器的两阶段NBIC算法,该算法称为最小相空间量技术。这种两阶段的NBIC算法可以应用于不同种类的混沌通信系统。特别是,在NBIC研究中,考虑了两种代表性的混沌通信系统,即差分混沌移位键控和混沌参数调制。结果表明,所提出的两阶段NBIC算法对于两种混沌通信系统都是有效的。另外,发现基于混沌的通信系统相对于常规的基于统计的扩频(SS)系统具有改善的干扰抑制能力。当混沌调制技术应用于电力线通信中时,所提出的基于动态的两阶段NBIC技术可以抑制NBI。

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