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UWB Channel Model for Indoor Residential Environment

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3-bedrooms (Apart1) 4-bedrooms (Apart2) Both LOS and NLOS configurations. TX-RX antennas: ... 3-Bedroom Apartment. Grid-Measurement. September 2004. Chia-Chin ... – PowerPoint PPT presentation

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Title: UWB Channel Model for Indoor Residential Environment


1
Project IEEE P802.15 Working Group for Wireless
Personal Area Networks (WPANs) Submission Title
UWB Channel Model for Indoor Residential
Environment Date Submitted 16 September,
2004 Source Chia-Chin Chong, Youngeil Kim,
SeongSoo Lee Company Samsung Advanced
Institute of Technology (SAIT) Address RF
Technology Group, Comm. Networking Lab., P. O.
Box 111, Suwon 440-600, Korea. Voice82-31-280-
6865, FAX 82-31-280-9555, E-Mail
chiachin.chong_at_samsung.com Re Response to
Call for Contributions on IEEE 802.15.4a Channel
Models Abstract This contribution describes
the UWB channel measurement results in indoor
residential environment based in several types of
high-rise apartments. It consists of detailed
characterization of both the large-scale and
small-scale parameters of the channel such as
frequency-domain parameters, temporal-domain
parameters, small-scale amplitude statistics and
S-V clustering multipath channel parameters of
the UWB channel with bandwidth from 3 to 10
GHz. Purpose Contribution towards the IEEE
802.15.4a Channel Modeling Subgroup. 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.
2
UWB Channel Model for Indoor Residential
Environment
  • Chia-Chin Chong, Youngeil Kim, SeongSoo Lee
  • Samsung Advanced Institute of Technology (SAIT),
    Korea

3
Outline
  • Measurement Setup Environment
  • Data Analysis Post-Processing
  • Measurement Results
  • Large-Scale Parameters
  • Small-Scale Parameters
  • Conclusion

4
Measurement Setup (1)
  • Frequency domain technique using VNA
  • Center frequency, fc 6.5GHz
  • Bandwidth, B 7GHz (i.e. 3-10GHz)
  • Delay resolution, ?? 142.9ps (i.e. ??1/B)
  • No. frequency points, N 1601
  • Frequency step, ?f 4.375MHz (i.e. ?fB/(N-1))
  • Max. excess delay, ?max 229.6ns (i.e.
    ?max1/?f)
  • Sweeping time, tsw 800ms
  • Max. Doppler shift, fd,max 1.25Hz (i.e.
    fd,max1/tsw)

5
Measurement Setup (2)
  • UWB planar dipole antennas
  • Measurement controlled by laptop with LabVIEW via
    GPIB interface
  • Calibration performed in an anechoic chamber with
    1m reference separation
  • Static environment during recording
  • Both large-scale small-scale measurements
  • Large-scale different RX positions ? local
    point
  • Small-scale 25 (5x5) grid-measurements around
    each local point ? spatial point
  • At each spatial point, 30 time-snapshots of the
    channel complex frequency responses are recorded

6
Measurement Setup (3)
Propagation Channel
RX antenna
TX antenna
Coaxial Cables
Vector network analyzer (Agilent 8722ES)
Low Noise Amplifier (Miteq AFS5)
Power Amplifier (Agilent 83020A)
Attenuator (Agilent 8496B)
GPIB Interface
Laptop with LabVIEW
7
UWB Planar Dipole Antenna
8
Measurement Environment
  • Measurements in various types of high-rise
    apartments based on several cities in Korea ?
    typical types in Asia countries like Korea,
    Japan, Singapore, Hong Kong, etc.
  • 3-bedrooms (Apart1)
  • 4-bedrooms (Apart2)
  • Both LOS and NLOS configurations
  • TX-RX antennas
  • Separations up to 20m
  • Height 1.25m (with ceiling height of 2.5m)
  • TX antenna always fixed in the center of the
    living room
  • RX antenna moved around the apartment (i.e. 8-10
    locations)
  • 12,000 channel complex frequency responses are
    collected (i.e. 2 apartments x 8 RX local points
    x 25 spatial points x 30 time snapshots ?
    2x8x25x3012,000)

9
3-Bedroom Apartment
Grid-Measurement
10
4-Bedroom Apartment
11
Data Analysis Post-Processing
  • All measurement data are calibrated with the
    calibration data measured in anechoic chamber to
    remove effect of measurement system
  • Perform frequency domain windowing to reduce the
    leakage problem
  • Complex passband IFFT is deployed to transform
    the complex frequency response to complex impulse
    response
  • Perform temporal domain binning before extract
    channel parameters

12
Channel Model Description
  • Large-Scale Parameters
  • Path loss and Shadowing
  • Frequency Decaying Factor
  • Small-Scale Parameters
  • Temporal Domain Parameters
  • S-V Multipath Channel Parameters
  • Small-Scale Amplitude Statistics

13
Path Loss and Shadowing
  • Path loss (PL) vs. Distance (d)
  • d0 1m
  • PL0 intercept
  • n path loss exponent
  • S Shadowing fading parameter
  • Perform linear regression to the above equation
    with measured data to extract the required
    parameters

14
Path Loss vs. Distance LOS
15
Path Loss vs. Distance NLOS
16
Frequency Decaying Factor
  • Path loss (PL) vs. Frequency (f)
  • or

(Method 1)
(Method 2)
17
Frequency Decaying Factor LOS
18
Frequency Decaying Factor NLOS
19
Large-Scale Parameters
20
Temporal Domain Parameters
  • These parameters were obtained after taking
    frequency domain Hamming windowing, passband IFFT
    temporal domain binning

21
S-V Multipath Channel (1)
  • Saleh-Valenzuela (S-V) channel model is given by
  • L number of clusters lth cluster
  • Kl number of MPCs within the
  • ak,l multipath gain coefficent of the kth
    component in lth cluster
  • Tl delay of the lth cluster
  • ?k,l delay of the kth MPC relative to the to
    the lth cluster arrival time

22
S-V Multipath Channel (2)
  • Cluster arrival times Poisson distribution
  • Ray arrival times Poisson distribution
  • ? mean cluster arrival rate
  • ? mean ray arrival rate

23
S-V Multipath Channel (3)
  • Average power of a MPC at a given delay, Tl
    ?k,l
  • expected value of the power of the first
    arriving MPC
  • ? cluster decay factor
  • ? ray decay factor

24
Cluster Decay Factor, ? LOS
25
Cluster Decay Factor, ? NLOS
26
Ray Decay Factor, ? LOS
27
Ray Decay Factor, ? NLOS
28
Cluster Arrival Rate, ? LOS
29
Cluster Arrival Rate, ? NLOS
30
Ray Arrival Rate, ? LOS
31
Ray Arrival Rate, ? NLOS
32
Mixture Poisson Distribution
  • Fitting the ray arrival times to a mixture of 2
    Poisson distributions similar to 1
  • ? mixture probability
  • ?1 ?2 ray arrival rates

33
Mixture Poisson Distributions LOS
34
Mixture Poisson Distributions NLOS
35
Number of Clusters
36
Number of MPCs per Cluster
37
S-V Multipath Channel Parameters
38
Small-Scale Amplitude Statistics
  • Comparison of empirical path amplitude
    distribution with the following five commonly
    used theoretical distributions
  • Lognormal
  • Nakagami
  • Rayleigh
  • Ricean
  • Weibull
  • The goodness-of-fit of the received signal
    amplitudes is evaluated using Kolmogorov-Smirnov
    (K-S) test Chi-Square (?2) test with 5 and 10
    significance level, respectively.

39
Goodness-of-Test LOS
40
Goodness-of-Test NLOS
41
CDF of Path Amplitude LOS
42
CDF of Path Amplitude NLOS
43
Small-Scale Amplitude Statistics Parameters
  • The results demonstrate that lognormal, Nakagami
    and Weibull fit the measurement data well.
  • Parameters of these distributions (i.e. standard
    deviation of lognormal PDF, m-parameter of
    Nakagami PDF and b-shape parameter of Weibull
    PDF) can be modeled by a lognormal distribution,
    respectively
  • These parameters are almost constant across the
    excess delay

44
Standard Deviation of Lognormal PDF LOS
45
Standard Deviation of Lognormal PDF NLOS
46
m-Nakagami Parameter LOS
47
m-Nakagami Parameter NLOS
48
b-Weibull Parameter LOS
49
b-Weibull Parameter NLOS
50
Variations of Lognormal-? with Delay LOS
51
Variations of Lognormal-? with Delay NLOS
52
Variations of Nakagami-m with Delay LOS
53
Variations of Nakagami-m with Delay NLOS
54
Variations of Weibull-b with Delay LOS
55
Variations of Weibull-b with Delay NLOS
56
Small-Scale Amplitude Statistics Parameters
57
Conclusion
  • Frequency domain technique UWB measurement
    campaign has been carried out in indoor
    residential environment (high-rise apartments)
    covering frequencies from 3-10 GHz.
  • Measurement covered both LOS NLOS scenarios.
  • Channel measurement results and parameters which
    characterize both the large-scale and small-scale
    parameters of the channel are reported.

58
Reference
  1. B. Kannan et. al., Characterization of UWB
    Channels Small-Scale Parameters for Indoor and
    Outdoor Office Environment, IEEE
    802.15-04-0385-00-04a, July 2004.
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