Research On Scatter Cluster Channel Modeling And Multipath Cluster Identification

Wireless channel model is an important component of radio communicationsystem, which will be the key to the reproduction of the real transmissionenvironment, to improve communication quality. Therefore, the channel modelsimulation method has double the value of the theoretical and practical application ofthe wireless communication system design and planning. In the last few years,wireless channel simulation models are mainly focused on the research of differentsmall-scale fading distribution, and neglected the correlation between the timedispersion and angular spread of the received signal, the multipath scattering clusterphenomenon caused by multipath effects.The first section of this article is reviewed the evolution of wirelesscommunication channel modeling history and research results. Then a detailedintroduction of extended evolution models based on the Saleh-Valenzuela channelmodel is given in this paper, following the analysis of the advantages anddisadvantages of the different four models. After that, a modified Saleh-Valenzuelamodel which combines clustered random point process, the space-time correlationproperties is deduced, following with MATLAB simulation in different narrowband,broadband communication systems. Immediately the second part is based on the studyof multipath cluster automatically identification algorithm and performance, thispaper proposes an improved WKPowerMeans algorithm (Wavelet Weighted), whichcombines wavelet peak detection with information entropy theory. Compared tooriginal KPowerMeans algorithm, the proposed algorithm has an improved accuracyand lower time complexity.In summary, this paper studies the scatter cluster-based channel model. Inaddition to theoretical analysis and simulation, the effectiveness of the proposedspace-time channel model and multi-path cluster algorithm are verified.