ARFrequency Domain Analysis of the IEEE 802.15.4a Standard Channel Models

TitleARFrequency Domain Analysis of the IEEE 802.15.4a Standard Channel Models
Publication TypeConference Paper
Year of Publication2007
AuthorsXin, N., and D. G. Michelson
Conference NameWireless Communications and Networking Conference, 2007.WCNC 2007. IEEE
Pagination2058 -2062
Date Publishedmar.
KeywordsAkaike information criterion, autoregressive frequency domain modeling techniques, channel frequency response, frequency domain analysis, frequency-domain analysis, IEEE 802.15.4a standard channel models, probability distribution, transient response, ultra wideband communication, UWB statistical channel impulse response model, wireless channels
Abstract

The CM 1-8 UWB statistical channel impulse response (OR) models adopted by the IEEE 802.15.4a task group are widely used to fairly compare the performance of alternative UWB signaling schemes under representative line-of-sight and non-line-of-sight conditions in four different environments: residential, office, industrial, and outdoor. However, with the advent of MB-OFDM and related schemes, channel frequency response (CFR) models are becoming more pertinent than CIR models. Here, we analyze the CM 1-8 models using autoregressive frequency domain (AR-FD) modeling techniques with four aims. First, we use the Akaike information criterion (AIC) to determine the order of the AR-FD model most appropriate to each case. Second, we use the distribution of the poles in the equivalent AR-FD model to interpret both the physical significance and diversity of each of the CM models. Third, we determine the probability distribution that best describes the pole locations and other parameters of the AR-FD model so that we may specify a set of frequency domain alternatives to the IEEE 802.15.4a models which we refer to as CFR 1-8. Finally, we assess the suitability of the AR-FD approach in each of the eight cases by comparing the envelope distribution and RMS delay spread predicted by the AR-FD models to those of the original CIR data.

URLhttp://dx.doi.org/10.1109/WCNC.2007.386
DOI10.1109/WCNC.2007.386

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