论文标题
无线通信混乱的自相关不变性属性
Autocorrelation Invariance Property of Chaos for Wireless Communication
论文作者
论文摘要
在这项工作中发现了由混沌形状形成过滤器(CSF)产生的混沌信号的新功能。我们发现,无论编码哪些信息,CSF生成的传输信号的自相关函数(ACF)保持与CSF的基本函数相同。我们得出分析方程式,以使用传输信号的ACF来描述接收信号的ACF与无线通道参数之间的关系,作为这项工作中发现的先验知识。该新属性可以与不同的无线通信系统一起使用,以改善系统性能。特别是,为了证明改进,使用混乱的基带无线通信作为范式确定渠道状态信息(CSI)。使用新属性的两个重大好处是1)可以在传统的无线通信系统中所做的探测信息所知的探测信息,从而提高带宽效率,尤其是在时间变化的渠道中; 2)相关操作对通道噪声不敏感,与常用方法相比,它提高了识别精度。
A new feature of the chaotic signal generated by chaotic shape-forming filter (CSF) is uncovered in this work. We find that, the autocorrelation function (ACF) of the transmitting signal generated by CSF keeps the same as that of the base function of CSF, no matter what information is encoded. We derive the analytical equation to describe the relation between the ACF of the received signal and the wireless channel parameters using the ACF of the transmitted signal as prior knowledge revealed by the finding in this work. This new property can be utilized together with different wireless communication systems to improve the system performance. Specially, to demonstrate the improvement, channel state information (CSI) is identified using the chaotic baseband wireless communication as a paradigm. Two significant benefits by using the new property are 1) the CSI can be identified without the probe information known to the receiver as done in the conventional wireless communication systems, which improves the bandwidth efficiency, especially in the time-varying channel; 2) the correlation operation is insensitive to the channel noise, which improves the identification accuracy as compared to the commonly used methods.