ARFrequency Domain Analysis of the IEEE 802.15.4a Standard Channel Models

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.

[1]  Rittwik Jana,et al.  Measurement and modeling of an ultra-wide bandwidth indoor channel , 2004, IEEE Transactions on Communications.

[2]  J. Kunisch,et al.  Measurement results and modeling aspects for the UWB radio channel , 2002, 2002 IEEE Conference on Ultra Wideband Systems and Technologies (IEEE Cat. No.02EX580).

[3]  W. A. Krzymien,et al.  Asynchronous spread spectrum multi-carrier multiple access systems with pilot symbol aided channel estimation , 1999, Gateway to 21st Century Communications Village. VTC 1999-Fall. IEEE VTS 50th Vehicular Technology Conference (Cat. No.99CH36324).

[4]  A. Molisch,et al.  IEEE 802.15.4a channel model-final report , 2004 .

[5]  Patrick Robertson,et al.  Two-dimensional pilot-symbol-aided channel estimation by Wiener filtering , 1997, 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing.

[6]  Desmond P. Taylor,et al.  A Statistical Model for Indoor Multipath Propagation , 2007 .

[7]  W. M. Carey,et al.  Digital spectral analysis: with applications , 1986 .

[8]  M. Fattouche,et al.  Super-resolution modeling of the indoor radio propagation channel , 1998 .

[9]  A.A.M. Saleh,et al.  A Statistical Model for Indoor Multipath Propagation , 1987, IEEE J. Sel. Areas Commun..

[10]  J.L. Garcia,et al.  New channel impulse response model for UWB indoor system simulations , 2003, The 57th IEEE Semiannual Vehicular Technology Conference, 2003. VTC 2003-Spring..

[11]  Andreas F. Molisch,et al.  Ultrawideband propagation channels-theory, measurement, and modeling , 2005, IEEE Transactions on Vehicular Technology.

[12]  Kaveh Pahlavan,et al.  Autoregressive modeling of wide-band indoor radio propagation , 1992, IEEE Trans. Commun..