基于简正波掠射角的声速剖面反演方法研究
Channel estimation and recognition in 2.4GHz-band network
云南民族大学学报:自然科学版,2017,26(1):69-75

陈旭东 CXD

摘要


在2.4GHz网络中,由于wifi、zigbee和bluetooth这3种系统工作在同一频段,致使它们通信时会出现干扰.为区分出不同系统的信号,基于盲源分离理论,介绍了线性主成分方法(PCA)、递推最小二乘算法(RLS)和2.4GHz系统,推导了RLS型算法和信号识别公式,采用Matlab仿真,结合以前改进的RSL算法和信号识别方法,提出一种改进的RLS算法.经过分析,证明该改进的算法可以从混迭信号中有效地分离出各源信号,特别是使这3个系统的不同信号分离,确定每个信号的所属系统及所占信道. In the 24 GHz network, there are three kinds of wireless systems which are wifi, zigbee and bluetooth in the same frequency band, which can create mutual interference among themselves. In order to divide signals released by different systems, this paper introduces a new RLS algorithm that uses the basic nonlinear PCA (principal component analysis) method, RLS (recursive least square) algorithm and the 24 GHz network which are based on the theory of blind source separation to deduce the RLS calculation formula and equation of signal recognition. All of the modeling and simulation results are obtained by Matlab. After a series of analysis and comparison, it has been proved that the source signals can be successfully separated from the mixed signal sources with the help of this new algorithm. Especially, it can separate the multiple signals of three kinds of systems in the 24 GHz-band network effectively. Meanwhile, it can determine which system the channel belongs to, and improve the signal recognition degree of the system.

参考



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