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Transcript of Doc.: IEEE 802.15-02/402 SG3a Submission Marcus Pendergrass Time Domain Corporation (TDC) September...
Marcus PendergrassTime Domain Corporation (TDC)
doc.: IEEE 802.15-02/402 SG3a September 2002
Submission
Project: IEEE P802.15 Working Group for Wireless Personal Area Networks (WPANs)Project: IEEE P802.15 Working Group for Wireless Personal Area Networks (WPANs)
Submission Title: Statistical Overview of a Set of Measurement DataDate Submitted: 12 September, 2002Source: Marcus Pendergrass, Time Domain Corporation 7057 Old Madison Pike, Huntsville, AL 35806Voice:256-428-6344 FAX: [256-922-0387], E-Mail: [email protected]
Re: Ultra-wideband Channel Models IEEE P802.15-02/208r0-SG3a, 17 April, 2002,
Abstract: An overview of several statistical parameters extracted from a set of measurement data are presented.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 P802.15. 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 P802.15.
Slide 1
Marcus PendergrassTime Domain Corporation (TDC)
doc.: IEEE 802.15-02/402 SG3a September 2002
Submission
Statistical Overview of a Set of Measurement Data12 September 2002
Marcus [email protected]
References
http://grouper.ieee.org/groups/802/15/pub/2002/Jul02/02240r1p802-15_SG3a-Empirically_Based_UWB_Channel_Model.ppt
http://grouper.ieee.org/groups/802/15/pub/2002/Jul02/02294r0p802-15_SG3a-Empirically_Based_Statistical_Ultra-Wideband_Channel_Model.ppt
Channel model submission, July 2002, Vancouver BC
Channel model presentation, July 2002, Vancouver BC
Slide 2
Marcus PendergrassTime Domain Corporation (TDC)
doc.: IEEE 802.15-02/402 SG3a September 2002
Submission
• This overview includes only the data the waspresented at the July 2002 meeting of IEEE 802.
• Data extracted with CLEAN algorithm.
• Energy capture stopping criteria used.
• CLEAN stops extracting impulses out of a scannedwaveform when the current CIR either
• captures at least x% of the energy in the scannedwaveform (x is called the energy capture ratio); or
• contains 200 impulses
• Energy capture targets of x = 80%, 85%, 90%,and 95% used in analysis.
Brief Recap
Slide 3
Marcus PendergrassTime Domain Corporation (TDC)
doc.: IEEE 802.15-02/402 SG3a September 2002
Submission
• Statistics examined in this overview:• CLEAN Ratio Sum
• CIR Dynamic Range
• Mean Excess Delay
• RMS Delay
• Number of Multipath Components
• Scenarios called out in this overview• Case 1: 0 to 4 meters, line of sight (LOS), metalStud
• Case 2: 0 to 4 meters, non line of sight (NLOS), metalStud
• Case 3: 4 to 10 meters, non line of sight (NLOS), metalStud
Statistics and Scenarios
Go to “View -> Notes Page” to see the tabulated means and standard deviations of these statistics
Go to “View -> Notes Page” to see the tabulated means and standard deviations of these statistics
Slide 4
Marcus PendergrassTime Domain Corporation (TDC)
doc.: IEEE 802.15-02/402 SG3a September 2002
Submission
CLEAN Ratio Sum
Sum of the relative error and the energy capture ratio. When the CLEAN ratio sum is 1, the CLEAN algorithm is returning a least-squares approximation of the scanned waveform.
s
r
s-r
Original scan Error vector
Linear space of all possible reconstructed scans
CLEAN approximation to original scan (reconstructed scan)
2
2
s
r
Energy Capture Ratio:
Relative Error:
2
2
s
rs
Least Squares Condition:
12
2
2
2
s
rs
s
r
Slide 5
Marcus PendergrassTime Domain Corporation (TDC)
doc.: IEEE 802.15-02/402 SG3a September 2002
Submission
CLEAN Ratio Sum vs. Energy Capture Ratio
Case 1: 0-4 meters, NLOS, metalStudCLEAN Ratio Sum vs. Energy Capture Ratio
0.8
0.9
1
1.1
1.2
1.3
1.4
0.75 0.8 0.85 0.9 0.95 1
energy capture ratio
su
m o
f re
lati
ve e
rro
r an
d e
ne
rgy
cap
ture
rat
io
80% Energy Capture
85% Energy Capture
90% Energy Capture
95% Energy Capture
mean
Poly. (mean)
Slide 6
Marcus PendergrassTime Domain Corporation (TDC)
doc.: IEEE 802.15-02/402 SG3a September 2002
Submission
CLEAN Ratio Sum vs. Energy Capture Ratio
Case 2: 0-4 meters, LOS, metalStudCLEAN Ratio Sum vs. Energy Capture Ratio
0.8
0.9
1
1.1
1.2
1.3
1.4
0.75 0.8 0.85 0.9 0.95 1
energy capture ratio
su
m o
f re
lati
ve e
rro
r an
d e
ne
rgy
cap
ture
rat
io
80% Energy Capture
85% Energy Capture
90% Energy Capture
95% Energy Capture
mean
Poly. (mean)
Slide 7
Marcus PendergrassTime Domain Corporation (TDC)
doc.: IEEE 802.15-02/402 SG3a September 2002
Submission
CLEAN Ratio Sum vs. Energy Capture Ratio
Case 3: 4-10 meters, NLOS, metalStudCLEAN Ratio Sum vs. Energy Capture Ratio
0.8
0.9
1
1.1
1.2
1.3
1.4
0.75 0.8 0.85 0.9 0.95 1
energy capture ratio
su
m o
f re
lati
ve e
rro
r an
d e
ne
rgy
cap
ture
rat
io
80% Energy Capture
85% Energy Capture
90% Energy Capture
95% Energy Capture
mean
Poly. (mean)
Slide 8
Marcus PendergrassTime Domain Corporation (TDC)
doc.: IEEE 802.15-02/402 SG3a September 2002
Submission
CIR Dynamic Range
mmax =
mmin =
max {|ai| : i = 1, 2, …, n}
min {|ai| : |ai| > 0, i = 1, 2, …, n}
Ratio of the maximum and minimum non-zero magnitudes of the CIR
CIR Dynamic Range = 20 log10(mmax/mmin)
- mmax
mmin
a0
an
t10 k n
Slide 9
Marcus PendergrassTime Domain Corporation (TDC)
doc.: IEEE 802.15-02/402 SG3a September 2002
Submission
CIR Dynamic Range vs. Energy Capture Ratio
Case 1: 0-4 meters, NLOS, metalStudCIR Dynamic Range vs. Energy Capture Ratio
0
5
10
15
20
25
30
35
40
0.75 0.8 0.85 0.9 0.95 1
energy capture ratio
CIR
dyn
amic
ran
ge
(d
B)
80% Energy Capture
85% Energy Capture
90% Energy Capture
95% Energy Capture
mean
Poly. (mean)
Slide 10
Marcus PendergrassTime Domain Corporation (TDC)
doc.: IEEE 802.15-02/402 SG3a September 2002
Submission
CIR Dynamic Range vs. Energy Capture Ratio
Case 2: 0-4 meters, LOS, metalStudCIR Dynamic Range vs. Energy Capture Ratio
0
5
10
15
20
25
30
35
40
0.75 0.8 0.85 0.9 0.95 1
energy capture ratio
CIR
dyn
amic
ran
ge
(d
B)
80% Energy Capture
85% Energy Capture
90% Energy Capture
95% Energy Capture
mean
Poly. (mean)
Slide 11
Marcus PendergrassTime Domain Corporation (TDC)
doc.: IEEE 802.15-02/402 SG3a September 2002
Submission
CIR Dynamic Range vs. Energy Capture Ratio
Case 3: 4-10 meters, NLOS, metalStudCIR Dynamic Range vs. Energy Capture Ratio
0
5
10
15
20
25
30
35
40
0.75 0.8 0.85 0.9 0.95 1
energy capture ratio
dyn
amic
ran
ge
(d
B) 80% Energy Capture
85% Energy Capture
90% Energy Capture
95% Energy Capture
mean
Poly. (mean)
Slide 12
Marcus PendergrassTime Domain Corporation (TDC)
doc.: IEEE 802.15-02/402 SG3a September 2002
Submission
Mean Excess Delay
t
a0
an
Weighted first moment of the delays in the CIR. The weights are proportional to the squared magnitudes of the CIR amplitudes.
a1
ak
10 k n
n
ii
kk
a
ap
0
2
2
n
iii p
0
mean excess delaymean excess delay
weightsweights
Slide 13
Marcus PendergrassTime Domain Corporation (TDC)
doc.: IEEE 802.15-02/402 SG3a September 2002
Submission
Case 1: 0-4 meters, NLOS, metalStudMean Excess Delay vs. Energy Capture Ratio
0
5
10
15
20
25
30
35
0.75 0.8 0.85 0.9 0.95 1
energy capture ratio
me
an e
xce
ss
de
lay
(ns
)
80% Energy Capture
85% Energy Capture
90% Energy Capture
95% Energy Capture
mean
Poly. (mean)
Mean Excess Delay vs. Energy Capture Ratio
Slide 14
Marcus PendergrassTime Domain Corporation (TDC)
doc.: IEEE 802.15-02/402 SG3a September 2002
Submission
Case 2: 0-4 meters, LOS, metalStudMean Excess Delay vs. Energy Capture Ratio
0
5
10
15
20
25
30
35
0.75 0.8 0.85 0.9 0.95 1
energy capture ratio
me
an e
xce
ss
de
lay
(ns
)
80% Energy Capture
85% Energy Capture
90% Energy Capture
95% Energy Capture
mean
Poly. (mean)
Mean Excess Delay vs. Energy Capture Ratio
Slide 15
Marcus PendergrassTime Domain Corporation (TDC)
doc.: IEEE 802.15-02/402 SG3a September 2002
Submission
Case 3: 4-10 meters, NLOS, metalStudMean Excess Delay vs. Energy Capture Ratio
0
5
10
15
20
25
30
35
0.75 0.8 0.85 0.9 0.95 1
energy capture ratio
me
an e
xce
ss
de
lay
(ns
)
80% Energy Capture
85% Energy Capture
90% Energy Capture
95% Energy Capture
mean
Poly. (mean)
Mean Excess Delay vs. Energy Capture Ratio
Slide 16
Marcus PendergrassTime Domain Corporation (TDC)
doc.: IEEE 802.15-02/402 SG3a September 2002
Submission
RMS Delay
t
a0
an
Weighted second central moment of the delays in the CIR. The weights are proportional to the squared magnitudes of the CIR amplitudes.
a1
ak
10 k n
n
ii
kk
a
ap
0
2
2
n
iii p
0
n
iii p
0
2RMS
mean excess delaymean excess delay
RMS delay spreadRMS delay spread
weightsweights
Slide 17
Marcus PendergrassTime Domain Corporation (TDC)
doc.: IEEE 802.15-02/402 SG3a September 2002
Submission
RMS Delay vs. Energy Capture Ratio
Case 1: 0-4 meters, NLOS, metalStudRMS Delay vs. Energy Capture Ratio
0
5
10
15
20
25
0.75 0.8 0.85 0.9 0.95 1
energy capture ratio
RM
S d
ela
y (n
s)
80% Energy Capture
85% Energy Capture
90% Energy Capture
95% Energy Capture
mean
Poly. (mean)
Slide 18
Marcus PendergrassTime Domain Corporation (TDC)
doc.: IEEE 802.15-02/402 SG3a September 2002
Submission
RMS Delay vs. Energy Capture Ratio
Case 2: 0-4 meters, LOS, metalStudRMS Delay vs. Energy Capture Ratio
0
5
10
15
20
25
0.75 0.8 0.85 0.9 0.95 1
energy capture ratio
RM
S d
ela
y (n
s)
80% Energy Capture
85% Energy Capture
90% Energy Capture
95% Energy Capture
mean
Poly. (mean)
Slide 19
Marcus PendergrassTime Domain Corporation (TDC)
doc.: IEEE 802.15-02/402 SG3a September 2002
Submission
RMS Delay vs. Energy Capture Ratio
Case 3: 4-10 meters, NLOS, metalStudRMS Delay vs. Energy Capture Ratio
0
5
10
15
20
25
0.75 0.8 0.85 0.9 0.95 1
energy capture ratio
RM
S d
ela
y (n
s)
80% Energy Capture
85% Energy Capture
90% Energy Capture
95% Energy Capture
mean
Poly. (mean)
Slide 20
Marcus PendergrassTime Domain Corporation (TDC)
doc.: IEEE 802.15-02/402 SG3a September 2002
Submission
Number of Multipath Components
The number of impulses in the CIR.
t
a0
an
Number of multipath components = n + 1
Slide 21
Marcus PendergrassTime Domain Corporation (TDC)
doc.: IEEE 802.15-02/402 SG3a September 2002
Submission
Number of Multipath Components vs. Energy Capture Ratio
Case 1: 0-4 meters, NLOS, metalStudNumber of Multipath Components vs. Energy Capture Ratio
0
20
40
60
80
100
120
140
160
180
200
0.75 0.8 0.85 0.9 0.95 1
energy capture ratio
nu
mb
er
of
com
po
ne
nts
80% Energy Capture
85% Energy Capture
90% Energy Capture
95% Energy Capture
mean
Poly. (mean)
Slide 22
Marcus PendergrassTime Domain Corporation (TDC)
doc.: IEEE 802.15-02/402 SG3a September 2002
Submission
Number of Multipath Components vs. Energy Capture Ratio
Case 2: 0-4 meters, LOS, metalStudNumber of Multipath Components vs. Energy Capture Ratio
0
20
40
60
80
100
120
140
160
180
200
0.75 0.8 0.85 0.9 0.95 1
energy capture ratio
nu
mb
er
of
com
po
ne
nts
80% Energy Capture
85% Energy Capture
90% Energy Capture
95% Energy Capture
mean
Poly. (mean)
Slide 23
Marcus PendergrassTime Domain Corporation (TDC)
doc.: IEEE 802.15-02/402 SG3a September 2002
Submission
Number of Multipath Components vs. Energy Capture Ratio
Case 3: 4-10 meters, NLOS, metalStudNumber of Multipath Components vs. Energy Capture Ratio
0
20
40
60
80
100
120
140
160
180
200
0.75 0.8 0.85 0.9 0.95 1
energy capture ratio
nu
mb
er
of
com
po
ne
nts
80% Energy Capture
85% Energy Capture
90% Energy Capture
95% Energy Capture
mean
Poly. (mean)
Slide 24