Title :
ARFrequency Domain Analysis of the IEEE 802.15.4a Standard Channel Models
Author :
Xin, Ni ; Michelson, David G.
Author_Institution :
Dept. of Electr. & Comput. Eng., British Columbia Univ.
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.
Keywords :
frequency-domain analysis; transient response; ultra wideband communication; wireless channels; Akaike information criterion; IEEE 802.15.4a standard channel models; UWB statistical channel impulse response model; autoregressive frequency domain modeling techniques; channel frequency response; frequency domain analysis; probability distribution; Bandwidth; Communications Society; Databases; Delay; Frequency domain analysis; Frequency response; Predictive models; Probability distribution; Statistical analysis; Statistical distributions;
Conference_Titel :
Wireless Communications and Networking Conference, 2007.WCNC 2007. IEEE
Conference_Location :
Kowloon
Print_ISBN :
1-4244-0658-7
Electronic_ISBN :
1525-3511
DOI :
10.1109/WCNC.2007.386