doc IEEE 802 15 02381 September 2002 Project
doc. : IEEE 802. 15 -02/381 September 2002 Project: IEEE P 802. 15 Working Group for Wireless Personal Area Networks (WPANs) Submission Title: [UWB Channel Modeling Amplitude Distribution] Date Submitted: [6 September, 2002] Source: [Qinghua Li and Jeff Foerster] Company [Intel Research and Development] Company [Intel Corporation] Address [JF 3 -212, 2111 N. E. 25 th Ave. , Hillsboro, OR, 97124] Voice [503 -264 -6859], FAX: [503 -264 -3483] E-Mail: [jeffrey. r. foerster@intel. com] Re: [This presentation contains new results on the UWB amplitude distribution derived from Intel’s channel measurements. ] Abstract: [This contribution compared the Nakagami distribution to the log-normal and Rayleigh distributions for modeling the amplitude fluctuations derived from the Intel channel sounding measurements from 2 -8 GHz. ] Purpose: [The purpose of this presentation is to assist the channel modeling sub-committee in selecting models and parameters for the UWB channel model. ] Notice: This document has been prepared to assist the IEEE P 802. 15. It is offered as a basis for discussion and is not binding on the contributing individual(s) or organization(s). The material in this document is subject to change in form and content after further study. The contributor(s) reserve(s) the right to add, amend or withdraw material contained herein. Release: The contributor acknowledges and accepts that this contribution becomes the property of IEEE and may be made publicly available by P 802. 15. Submission 1 Intel Research and Development
doc. : IEEE 802. 15 -02/381 September 2002 Recent results on UWB amplitude distributions Qinghua Li and Jeff Foerster Intel Research and Development Intel Corporation Submission 2 Intel Research and Development
doc. : IEEE 802. 15 -02/381 September 2002 Amplitude Distribution – Hypothesis Test Results • There are three candidate distributions, i. e. , Lognormal, Nakagami, and Rayleigh. • Recovered signal amplitudes are tested by hypothesis tests to determine if the amplitudes has one of the three distributions. • The results demonstrate that Lognormal and Nakagami have the best fit. Pass Rate of Lognormal (%) Nakagami (%) Submission Pass Rate of Rayleigh (%) LOS, 1 -5 m 35 44 4. 8 NLOS, 1 -5 m 67 52 4. 8 LOS, 5 -20 m 60 96 40 NLOS, 5 -20 m 18 12 4. 8 3 Intel Research and Development
doc. : IEEE 802. 15 -02/381 September 2002 Cumulative Density Function Fitting • Both Lognormal and Nakagami fit the empirical cumulative density function well. Submission 4 Intel Research and Development
doc. : IEEE 802. 15 -02/381 September 2002 Standard Deviation of Log Amplitude • The standard deviation of log amplitude decreases as excess delay increases. The standard deviation of log amplitude. The antenna separation ranges are 1 -5 meters and 5 -20 meters. Submission 5 Intel Research and Development
doc. : IEEE 802. 15 -02/381 September 2002 The Order of Nakagami Distribution The order m of Nakagami distribution. The antenna separation ranges are 1 -5 meters and 5 -20 meters. The energy of each channel realization is normalized to unity. Submission 6 Intel Research and Development
doc. : IEEE 802. 15 -02/381 September 2002 Conclusions • The Nakagami and Log-normal distributions seems to match the amplitude fading equally well. • Either is a good choice for the UWB channel model. Submission 7 Intel Research and Development
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