2013 · 23 citations · 9 references
EngineeringElectrical EngineeringDigital CommunicationPropagationWireless CommunicationsChannel EstimationChannel Performance AnalysisPropagation DelayUltra-wideband CommunicationWireless Channel ModelingWireless NetworksChannel DelayChannel Impulse ResponseChannel Impulse Response AnalysisChannel Impulse Response ModelingDelay SpreadPropagation Channel CharacterizationStatistical Channel ModelingUwb Channel Modeling
Channel impulse responses, from both simulation and experimental measurement data, are examined and parameters like Kurtosis, Peak to Lead delay, Mean Excess delay and RMS delay spread are evaluated to classify channels as LOS or NLOS. The difference in dealing with experimental results compared to simulated data is investigated. While the Mean Excess delay and the RMS delay spread are found to be less effective in LOS/NLOS classification for the indoor scenarios of simulated data, they were efficient in providing classification information for experimental measurements taken indoors. On the basis of the carried investigation and the results obtained, a joint technique for channel classification is proposed. This method results in identification percentage which is 10% better than that obtained for some of the individual parameters.
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