Title: Proposal Submission for IEEE 802.15.3-COP
1Project IEEE P802.15 Working Group for Wireless
Personal Area Networks (WPANs) Submission Title
Implementation feasibility of SSA-UWB pulse
wavelets Date Submitted January 13,
2004 Source Honggang Zhang, Kamya Y.
Yazdandoost, Kenichi Takizawa, Iwao Nishiyama,
Keren Li, Yuko Rikuta, Tetsuya Yasui, Ryuji Kohno
Company (1) Communications Research
Laboratory (CRL), (2) CRL-UWB Consortium
Connectors Address 3-4, Hikarino-oka,
Yokosuka, 239-0847, Japan Voice81-468-47-5101
, FAX 81-468-47-5431, E-Mail
honggang_at_crl.go.jp, yazdandoost_at_crl.go.jp,
takizawa_at_crl.go.jp, nisiyama_at_crl.go.jp,
keren_at_crl.go.jp, rikuta_at_crl.go.jp,
t-yasui_at_crl.go.jp, kohno_at_crl.go.jp Re IEEE
P802.15 Alternative PHY Call For Proposals, IEEE
P802.15-02/327r7 Abstract The implementation
feasibility issues of optimized SSA-UWB pulse
wavelets are investigated, considering the
effects of Ultra Wideband antenna, quantization
bits and sampling scheme. Purpose For
analyzing the implementation feasibility of
SSA-UWB pulse waveform shapes. 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.
2Implementation Feasibility of SSA-UWB Pulse
Wavelets
Honggang ZHANG, K. Y. YAZDANDOOST, Kenichi
TAKIZAWA, Iwao NISHIYAMA Keren LI,
Yuko RIKUTA, Tetsuya YASUI, Ryuji
KOHNO Communications Research Laboratory (CRL)
CRL-UWB Consortium
3Major Contributors For This Proposal Update
Honggang ZHANG Kamya Y. YAZDANDOOST Kenichi
TAKIZAWA Iwao NISHIYAMA Keren LI Yuko
RIKUTA Tetsuya YASUI Ryuji KOHNO
CRL CRL-UWB Consortium CRL CRL-UWB
Consortium CRL CRL-UWB Consortium CRL CRL-UWB
Consortium CRL CRL-UWB Consortium CRL CRL-UWB
Consortium CRL CRL-UWB Consortium CRL CRL-UWB
Consortium
4Outline of presentation
- Summary of previously proposed SSA-UWB pulse
wavelets - Effects of quantization and sampling scheme on
implementation issues of SSA-UWB pulse wavelets - ? Using CRLs SSA-UWB test-bed
- 3. Effects of two specific Ultra Wideband
antennas on implementation issues of SSA-UWB
pulse wavelets - ? T-type antenna designed in CRL-UWB Consortium
- ? K-type antenna designed in CRL-UWB Consortium
- Conclusion remarks
- Backup materials
51. Summary of previously proposed SSA-UWB pulse
wavelets
- Design a proper pulse wavelet with high frequency
efficiency corresponding to any regulatory
frequency mask. - Adjust transmitted signals spectra adaptively,
so as to minimize interference with co-existing
systems.
SSA-UWB (Soft-Spectrum Adaptation) philosophy
6SSA-UWB for interference avoidance, global
harmonization and compliance
- Global harmonization and compliance is the
everlasting aim and basic philosophy of CRL
CRL-UWB Consortium. - SSA-UWB scheme has a wide capability to be
harmonized with all the present or future UWB
systems and co-exist with various existing
narrowband radio systems. - Just changing the kernel functions and shapes of
SSA-UWB pulse wavelets to achieve smooth
version-up.
7Features of SSA-UWB
- SSA-UWB with flexible pulse waveform and
frequency band can be applied to single and
multi-band/multi-carrier UWB by - ? Free-verse type pulse waveform shaping and
- ? Geometrical type pulse waveform shaping,
respectively. - Interference avoidance for co-existence,
harmonization for various systems, and global
implementation can be realized. - ? SSA-UWB can flexibly adjust UWB signal
spectrum so as to match with spectral restriction
in transmission power, i.e. spectral masks in
both cases of single and multiple bands. - Scalable, adaptive performance improvement.
- Smooth system version-up similar to Software
Defined Radio (SDR).
8SSA-UWB pulse wavelet with adaptive spectral
notches achieving coexistence, flexibility and
efficient power transmission
Time (128 samples3.6 ns)
9(No Transcript)
102. Effects of quantization and sampling scheme on
implementation issues of SSA-UWB pulse wavelets
Based on CRLs SSA-UWB test-bed
11MATLAB simulation of SSA-UWB pulse wavelet with
various samples per pulse
2
1.5
1
0.5
Relative amplitude
0
-0.5
-1
-1.5
0
200
400
600
800
1000
1200
0.0ns
0.56ns
1.125ns
1.6875ns
2.25ns
2.8125ns
3.375ns
Time (samples)
SSA-UWB optimized pulse waveform generation (128
samples3.6ns)
SSA-UWB optimized pulse waveform generation (1024
samples3.6ns)
12MATLAB simulation of SSA-UWB pulse wavelet with
various quantization bits (2 and 3 bits)
SSA-UWB optimized pulse waveform generation (1024
samples, 2bit)
SSA-UWB optimized pulse waveform generation (1024
samples, 3bit)
13MATLAB simulation of SSA-UWB pulse wavelet with
various quantization bits (2 and 3 bits)
SSA-UWB optimized pulse waveform generation (1024
samples, 3bit)
SSA-UWB optimized pulse waveform generation (1024
samples, 2bit)
14MATLAB simulation of SSA-UWB pulse wavelet with
various quantization bits (4 and 6 bits)
SSA-UWB optimized pulse waveform generation (1024
samples, 4bit)
SSA-UWB optimized pulse waveform generation (1024
samples, 6bit)
15MATLAB simulation of SSA-UWB pulse wavelet with
various quantization bits (4 and 6 bits)
Spectrum characteristics of SSA-UWB optimal pulse
(1024 samples, 6bit)
Spectrum characteristics of SSA-UWB optimal
pulse (1024 samples, 4bit)
16SSA-UWB pulse wavelet realization using UWB
Soft-Spectrum Adaptation test-bed with 4-bit
quantization (128 and 256 samples per pulse)
SSA-UWB pulse generation (Test-bed, 128
samples, 4bit)
SSA-UWB pulse generation (Test-bed, 256
samples, 4bit)
17SSA-UWB pulse wavelet realization using UWB
Soft-Spectrum Adaptation test-bed with 4-bit
quantization (512 and 1024 samples per pulse)
SSA-UWB pulse generation (Test-bed, 512
samples, 4bit)
SSA-UWB pulse generation (Test-bed, 1024
samples, 4bit)
18SSA-UWB pulse wavelet realization using UWB
Soft-Spectrum Adaptation test-bed with 4-bit
quantization (128 samples per pulse)
128 samples
Spectrum characteristics of SSA-UWB optimal pulse
(Matlab simulation, 128 samples, no quantization)
Spectrum characteristics of SSA-UWB optimal pulse
(Test-bed, 128 samples, 4bit)
19SSA-UWB pulse wavelet realization using UWB
Soft-Spectrum Adaptation test-bed with 4-bit
quantization (256 samples per pulse)
Spectrum characteristics of SSA-UWB optimal pulse
(Test-bed, 256 samples, 4bit)
Spectrum characteristics of SSA-UWB optimal pulse
(Matlab simulation, 256 samples, no quantization)
20SSA-UWB pulse wavelet realization using UWB
Soft-Spectrum Adaptation test-bed with 4-bit
quantization (512 samples per pulse)
Spectrum characteristics of SSA-UWB optimal pulse
(Test-bed, 512 samples, 4bit)
Spectrum characteristics of SSA-UWB optimal pulse
(Matlab simulation, 512 samples, no quantization)
21SSA-UWB pulse wavelet realization using UWB
Soft-Spectrum Adaptation test-bed with 4-bit
quantization (1024 samples per pulse)
Spectrum characteristics of SSA-UWB optimal pulse
(Test-bed, 1024 samples, 4bit)
Spectrum characteristics of SSA-UWB optimal pulse
(Matlab simulation, 1024 samples, no
quantization)
22SSA-UWB pulse wavelet realization using UWB
Soft-Spectrum Adaptation test-bed with 4-bit
quantization (64 samples per pulse)
Spectrum characteristics of SSA-UWB optimal pulse
(Test-bed, 64 samples, 4bit)
SSA-UWB pulse generation (Test-bed, 64 samples,
4bit)
233. Effects of two specific Ultra Wideband
antennas on implementation issues of SSA-UWB
pulse wavelets (3.1) T-type antenna (3.2)
K-type antenna (3.3) Pre-equalization for SSA-UWB
pulse shape calibration
243.1 T-type UWB antenna designed in CRL CRL-UWB
Consortium
Frequency (samples)
25T-type UWB antenna designed in CRL CRL-UWB
Consortium (Cont.)
26Effects of T-type Ultra Wideband antennas on
SSA-UWB pulse shape
27Effects of T-type Ultra Wideband antennas on
SSA-UWB pulse shape (Cont.)
283.2 K-type UWB antenna designed in CRL CRL-UWB
Consortium
29K-type UWB antenna designed in CRL CRL-UWB
Consortium (Cont.)
30Effects of K-type Ultra Wideband antennas on
SSA-UWB pulse shape
31Comparisons of effects of T- K-type Ultra
Wideband antennas on SSA-UWB pulse shape
Spectrum characteristics of reflected SSA-UWB
pulse waveforms by T- K-type antenna
-10
K-type antenna
-20
-30
T-type antenna
-40
-50
Relative amplitude (dB)
-60
-70
-80
-90
-100
-110
0
50
100
150
200
250
300
Frequency (samples)
32Comparisons of effects of T- K-type Ultra
Wideband antennas on SSA-UWB pulse shape (Cont.)
333.3 Pre-equalization for SSA-UWB pulse shape
calibration
34Pre-equalization for SSA-UWB pulse wavelet
corresponding to T-type antenna
35Pre-equalization for SSA-UWB pulse wavelet
corresponding to K-type antenna
36Pre-equalization for SSA-UWB pulse wavelet
realizing spectrum matching
Frequency (samples)
374. Conclusion remarks
- We has tested the effects of quantization bits
and sampling scheme on the implementation issues
of SSA-UWB pulse wavelets. - ? Test-bed results are encouraging
- We also have investigated the effects of two
specific Ultra Wideband antennas on the
implementation issues of SSA-UWB pulse wavelets - ? CRLs T-type antenna
- ? CRls K-type antenna
- ? Measurement and simulation results are
encouraging as well - Scalable and adaptive performance improvement can
be further expected by utilizing various improved
UWB devices.
385. Backup materials
39SSA-UWB pulse wavelet with adaptive spectral
notches achieving coexistence, flexibility and
efficient power transmission
40(No Transcript)
41(No Transcript)
42(No Transcript)
43(No Transcript)
44(No Transcript)
45(No Transcript)
46SSA-UWB pulse wavelet with adaptive spectral
notches achieving coexistence, flexibility and
efficient power transmission (Cont.)
47(No Transcript)
48(No Transcript)
49(No Transcript)
50(No Transcript)