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Doc.: IEEE 802.15-02/383 SG3a Submission Marcus Pendergrass Time Domain Corporation (TDC) September 2002 Project: IEEE P802.15 Working Group for Wireless.

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Presentation on theme: "Doc.: IEEE 802.15-02/383 SG3a Submission Marcus Pendergrass Time Domain Corporation (TDC) September 2002 Project: IEEE P802.15 Working Group for Wireless."— Presentation transcript:

1 doc.: IEEE /383 SG3a Submission Marcus Pendergrass Time Domain Corporation (TDC) September 2002 Project: IEEE P Working Group for Wireless Personal Area Networks (WPANs) Submission Title: Comparison of S-V Channel Model to Empirical Data Date Submitted: 08 September, 2002 Source: Marcus Pendergrass, Time Domain Corporation 7057 Old Madison Pike, Huntsville, AL Voice: FAX: [ ], Re: Ultra-wideband Channel Models IEEE P /208r0-SG3a, 17 April, 2002, Abstract:Channel realizations generated by the S-V model are compared to measured channels. We show that the S-V model is able to accurately reproduce population means for 3 channel parameters: RMS delay spread, mean excess delay, and number of significant paths. In addition, a hueristic channel classification scheme is proposed, and we show that the S-V model is able to produce exemplars of each channel class except for one. We recommend that SG3a adopt a channel model consisting of a defined set of channel realizations generated by the S-V model, augmented with additional channel realizations necessary to capture the wide variety of channels that occur in typical WPAN application scenarios. Purpose:The information provided in this document is for consideration in the selection of a UWB channel model to be used for evaluating the performance of a high rate UWB PHY for WPANs. Notice:This document has been prepared to assist the IEEE P 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 Slide 1

2 doc.: IEEE /383 SG3a Submission Marcus Pendergrass Time Domain Corporation (TDC) September 2002 S-V Model can match measured channels in terms of the population means of Mean Excess Delay, RMS Delay Spread, and Number of Significant Paths for three scenarios: NLOS, 0 to 4 meters, office LOS, 0 to 4 meters, office NLOS, 4 to 6 meters, office Variation of measured channels is very wide, even within a single scenario. A heuristic channel taxonomy is proposed. Single set of S-V parameters for each scenario is probably not sufficient to capture the wide variation among channels from a given category. Recommendations channel model should consist of a defined set of channel impulse response realizations make sure all channel types within a given scenario are represented multiple S-V parameter sets per scenario Summary Slide 2

3 doc.: IEEE /383 SG3a Submission Marcus Pendergrass Time Domain Corporation (TDC) September 2002 Case 1: Case 2: Case 3: NLOS, 0-4 meters, office LOS, 0-4 meters, office NLOS, 4-10 meters, office Measurements 123 Case: Population means Mean excess delay RMS delay spread Number of Paths (85 % energy capture) S-V Model 123 Case: Population means* Channel Parameter *data provided by Jeff Foerster S-V Model Can Match Population Means of Data Slide 3

4 doc.: IEEE /383 SG3a Submission Marcus Pendergrass Time Domain Corporation (TDC) September 2002 Freespace Freespace + diffuse multipath Closely spaced dominant paths Closely spaced dominant paths + strong late arriving cluster Strong late arriving cluster + diffuse multipath Strong late arriving cluster, little diffuse multipath Diffuse multipath, no single dominant path ? ? ? MeasurementsS-V model Case: Channel Type LOS path not dominant, little diffuse multipath LOS path not dominant + diffuse multipath ?? ? ? Case 1: Case 2: Case 3: NLOS, 0-4 meters, office LOS, 0-4 meters, office NLOS, 4-10 meters, office Heuristic Channel Taxonomy Slide 4

5 doc.: IEEE /383 SG3a Submission Marcus Pendergrass Time Domain Corporation (TDC) September 2002 A Channel Menagerie The next several slides give visual depictions of selected channels from each Channel Type described on the previous slide. Where possible, we show both measured and simulated channels for each Channel Type. Purpose: illustrate the variety of channels in the measurement data indicate the ability of the S-V model to provide a reasonable facsimile to these channels Measured channels have RED titles Simulated channels have GREEN titles Slide 5

6 doc.: IEEE /383 SG3a Submission Marcus Pendergrass Time Domain Corporation (TDC) September 2002 Freespace DSO Scan CIR Reconstructed Scan Measured data spectrum Slide 6

7 doc.: IEEE /383 SG3a Submission Marcus Pendergrass Time Domain Corporation (TDC) September 2002 Freespace + diffuse multipath DSO Scan CIR Reconstructed Scan Measured data spectrum Slide 7

8 doc.: IEEE /383 SG3a Submission Marcus Pendergrass Time Domain Corporation (TDC) September 2002 Freespace + diffuse multipath S-V CIR 95% energy capture 85% energy capture S-V reconstructed waveform Slide 8

9 doc.: IEEE /383 SG3a Submission Marcus Pendergrass Time Domain Corporation (TDC) September 2002 Closely spaced dominant paths DSO Scan CIR Reconstructed Scan Measured data spectrum Slide 9

10 doc.: IEEE /383 SG3a Submission Marcus Pendergrass Time Domain Corporation (TDC) September 2002 Closely spaced dominant paths S-V CIR 95% energy capture 85% energy capture S-V reconstructed waveform Slide 10

11 doc.: IEEE /383 SG3a Submission Marcus Pendergrass Time Domain Corporation (TDC) September 2002 Closely spaced dominant paths, strong late-arriving cluster DSO Scan CIR Reconstructed Scan Measured data spectrum Slide 11

12 doc.: IEEE /383 SG3a Submission Marcus Pendergrass Time Domain Corporation (TDC) September 2002 Closely spaced dominant paths, strong late-arriving cluster S-V CIR 95% energy capture 85% energy capture S-V reconstructed waveform Slide 12

13 doc.: IEEE /383 SG3a Submission Marcus Pendergrass Time Domain Corporation (TDC) September 2002 LOS path not dominant, little diffuse multipath DSO Scan CIR Reconstructed Scan Measured data spectrum Slide 13

14 doc.: IEEE /383 SG3a Submission Marcus Pendergrass Time Domain Corporation (TDC) September 2002 LOS path not dominant, little diffuse multipath S-V CIR 95% energy capture 85% energy capture S-V reconstructed waveform Slide 14

15 doc.: IEEE /383 SG3a Submission Marcus Pendergrass Time Domain Corporation (TDC) September 2002 LOS path not dominant + diffuse multipath DSO Scan CIR Reconstructed Scan Measured data spectrum Slide 15

16 doc.: IEEE /383 SG3a Submission Marcus Pendergrass Time Domain Corporation (TDC) September 2002 LOS path not dominant + diffuse multipath S-V CIR 95% energy capture 85% energy capture S-V reconstructed waveform Slide 16

17 doc.: IEEE /383 SG3a Submission Marcus Pendergrass Time Domain Corporation (TDC) September 2002 Strong late-arriving cluster, little diffuse multipath DSO Scan CIR Reconstructed Scan Measured data spectrum Slide 17

18 doc.: IEEE /383 SG3a Submission Marcus Pendergrass Time Domain Corporation (TDC) September 2002 Strong late-arriving cluster, little diffuse multipath S-V CIR 95% energy capture 85% energy capture S-V reconstructed waveform Slide 18

19 doc.: IEEE /383 SG3a Submission Marcus Pendergrass Time Domain Corporation (TDC) September 2002 Strong late-arriving cluster + diffuse multipath DSO Scan CIR Reconstructed Scan Measured data spectrum Slide 19

20 doc.: IEEE /383 SG3a Submission Marcus Pendergrass Time Domain Corporation (TDC) September 2002 Strong late-arriving cluster + diffuse multipath S-V CIR 95% energy capture 85% energy capture S-V reconstructed waveform Slide 20

21 doc.: IEEE /383 SG3a Submission Marcus Pendergrass Time Domain Corporation (TDC) September 2002 Diffuse multipath, no single dominant path DSO Scan CIR Reconstructed Scan Measured data spectrum Slide 21

22 doc.: IEEE /383 SG3a Submission Marcus Pendergrass Time Domain Corporation (TDC) September 2002 Channel model should consist of a defined set of at least 50 channel impulse response realizations for each of the following 6 scenarios. Channel realizations should include all types of channels found in the measured data for each scenario (see channel taxonomy, slide 3). Current parameter sets cover all channel categories except one (very diffuse multipath), for the office scenarios. Generate additional channel realizations to cover remaining scenarios and channel categories: Preferred method: find S-V parameters to fill in the holes in the current set of realizations. Alternate method: supplement S-V channel realizations with realizations taken from measured data. Recommendations NLOS, 0 to 4 meters, office LOS, 0 to 4 meters, office NLOS, 4 to 10 meters, office NLOS, 0 to 4 meters, residential LOS, 0 to 4 meters, residential NLOS, 4 to 10 meters, residential Slide 22


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