Lecture07_ChannelSounding
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Transcript of Lecture07_ChannelSounding
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8/13/2019 Lecture07_ChannelSounding
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Channel Modelling ETI 085Lecture no:
7
Fredrik Tufvesson
Department of Electrical and Information Technology
Lund University, Sweden
2008-11-20 Fredrik Tufvesson - ETI 085 1
Why directional channel models? The spatial domain can be used to increase the spectral
e c ency o t e system
Smart antennas
Need to know directional properties
Which directions?
Model inde endent on s ecific antenna attern
2008-11-20 Fredrik Tufvesson - ETI 085 2
Double directional impulse responseTX position RX position number of multipath components
h t r r Nr
h t r r
for these positions
1
delay direction-of-departure
- -
h t,r
TX,r
RX,,
,
|a
|ej
2008-11-20 Fredrik Tufvesson - ETI 085 3
Physical interpretation
l
2008-11-20 Fredrik Tufvesson - ETI 085 4
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Angular spreadEs, , ,s , , , P s, ,,
double directional delay power spectrum
an ular dela ower s ectrum
, , s , , ,
ADPS, DDD PS, , GMSd
l
angular power spectrum
APS APDS, d
power
P APS d
2008-11-20 Fredrik Tufvesson - ETI 085 5
Directional models
The double directional delay power spectrum is sometimes factorized
. . . , .
DDDP S, , APSBS
APSMS
PDP
Often in reality there are groups of scatterers with similar DoD and DoA
clustersDDD PS P
cAPS
c,BS APS
c,MS PD P
c
k
2008-11-20 Fredrik Tufvesson - ETI 085 6
Angular dispersion At the base station the angular spread is often modeled as
ap ac an
0ex 2APS
=
S
Typical rms angular spread:
Indoor office: 10-20 deg
n us r a : - eg
Microcell 5-20 deg LOS, 10-40 deg NLOS
Rural: 1-5 de
2008-11-20 Fredrik Tufvesson - ETI 085 7
Laplacian distribution example Angular spreads 5, 10, 20, 40 degrees
0.09
0.1
0.07
0.08
.
0.05
0.06
pdf
.
0.03
0.04
0
0.01
.
2008-11-20 Fredrik Tufvesson - ETI 085 8
200 150 100 50 0 50 100 150 200
Angle
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Geometry-based stochastic channel models Assign positions for scatterers
Derive impulse response given
the scatterers and distributions
for the signal properties.
Used in the COST 259
,
model the 3GPP
spatial channel
,
WINNER model
2008-11-20 Fredrik Tufvesson - ETI 085 9
Channel measurementsIn order to model the channel behavior we need to measure
its properties
Time domain measurements mpu se soun er
correlative sounder
Fre uenc domain measurements
Vector network analyzer
rec ona measuremen s
directional antennas
multiplexed arrays
virtual arrays
2008-11-20 Fredrik Tufvesson - ETI 085 10
Impulse sounder
hmeasti, phti,
impulse responseof sounder
impulse response
of channel
2008-11-20 Fredrik Tufvesson - ETI 085 11
Correlative sounder Transmit a pseudo-noise sequence and correlate with the same
Compare conventional CDMA systems
Correlation peak for each delayed multipath component
(
Tc-Tc
correlation eak im ulse res onse measured im ulse res onse
2008-11-20 Fredrik Tufvesson - ETI 085 12
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Frequency domain measurements Use a vector network analyzer or similar to determine the
trans er unct on o t e c anne
* *H H H H=
Time domain properties via FFT
meas antenna c anne antenna
Using a large frequency band it is possible to get good time
resolution
s or me oma n measuremen s, we nee o now e
influence of the measurement system
2008-11-20 Fredrik Tufvesson - ETI 085 13
Channel sounding directional antenna Measure one impulse
response or eacantenna orientation
2008-11-20 Fredrik Tufvesson - ETI 085 14
Channel sounding antenna array
response for each antennaelement
Ambi uit with linear arra
d d dlinear array
h( ) h( ) h( )h( )
x=0 x=d x=2d x=(M-1)d
spatially resolved impulse response
2008-11-20 Fredrik Tufvesson - ETI 085 15
Real multiplexed and virtual arrays Real array: simultaneous
measuremen a a
antenna elements RX RX RX
Multiplexed array: short
time intervals between
Digital Signal Processing
measurements at different
elements RX
Virtual array: long delay
Digital Signal Processing
no problem with mutual
coupling RX
2008-11-20 Fredrik Tufvesson - ETI 085 16
Digital Signal Processing
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Directional analysis The DoA can, e.g., be
received signals with steering
vectors.
1
expjk0dcos
a exp j2k0dcos
expjM 1k0dcos
An element spacing of d=5.8 cm
and an an le of arrival of =20d sin degrees gives a time delay of
6.610-11 s between neighboring
2008-11-20 Fredrik Tufvesson - ETI 085 17
elements
High resolution algorithms In order to get better angular resolution, other techniques
or est mat ng t e ang es are use , e.g.:
MUSIC, subspace method using spectral search ,
MVM (Capons beamformer), rather easy spectral search method
SAGE, iterative maximum likelihood method
Based on models for the propagation
Rather com lex, one measurement oint ma take 15
minutes on a decent computer
2008-11-20 Fredrik Tufvesson - ETI 085 18
RUSK LUND our broadband MIMO channelsounderounder
measurement system for
radio propagation
,GHz and 5 GHz.
Financed by Knut and Alice
Wallenbergs stiftelse, FOI
and LTH
switches, currently 32
elements at each side.
2008-11-20 Fredrik Tufvesson - ETI 085 19
Its all about measuring some delays...y In MIMO systems we use the fact
between the transmitter and
receiver
These paths are characterized by a time delay,
hase shift,
attenuation,
angle of departure and
angle of arrival
The angle of departure and angle
of arrival result in a slight
difference in time delay for each of
the antenna elements
2008-11-20 Fredrik Tufvesson - ETI 085 20
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The measurement system
measurements
,
frequencies
2 se arate PCs to mana e the data flow from the A/D
converters
Oven controlled rubidium clocks to maintain
synchronization during wireless measurements
GPS and wheel sensors to position the system Broadband patch antennas with 128 antenna ports at 2.6
GHz
2008-11-20 Fredrik Tufvesson - ETI 085 25
Circular 300 MHz antennas with a diameter of 1.5 m
RUSK LUND transmitter bandwidths: u to 240 MHz
frequency grid 10 MHz
max. power 500 mW, withpossibility for 10 W externalamplifier
carrier frequency ranges 2200 2700 MHz,
Baseband (Arbitrary Wave Form)
235-387 MHz (20W)
Power Supply 24 V DC and 230 VAC
Signal Generator
Frequency Synthesizer
Rubidium Reference Modulator
Power Amplifier
MIMO Control Unit
2008-11-20 Fredrik Tufvesson - ETI 085 26
RUSK LUND receiver GPS Receiver
Odometer Interface
total amplification 72 dB
AGC dynamic range 51 dB ,
a us a e n s eps, intermediate frequency 160 MHz
bandwidth 240 MHz
-
High Speed ADC
Automatic Gain Control (AGC)
MIMO Control Unit
Rubidium Reference
High Speed Data Recorder 320MByte/s, 500 GByte
2008-11-20 Fredrik Tufvesson - ETI 085 27
Antennas
To get good
resolution we want
4x16 dualpolarized circular 4x8 dualpolarized
2008-11-20 Fredrik Tufvesson - ETI 085 28
rec angu ar array
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Antennas cont.
PDA device
sleeve antenna array
2008-11-20 Fredrik Tufvesson - ETI 085 29
RUSK LUND Key Parameters Power: TX
235-387 MHz
2200 2700 MHz, 5150 5750 MHz
20 W (300 MHz)
500 mW and 10 W high powerextension (2 and 5 GHz)
RF carrier frequency grid:
1 MHz (300 MHz)
10 MHz (2 and 5 GHz)
Antennas:
7+1 circular monopole antennaarray (300 MHz),
Measurement bandwidth up to 240MHz (null-to-null bandwidth)
MIMO capabil ity:
x e emen p anar array, uapolarized (2 GHz)
4x16 element circular array, dualpolarized (2 GHz)
16 TX antennas and 8 RX antennas(300 MHz)
32 TX antennas and 32 RX
various application specificantennas
GHZ)
2008-11-20 Fredrik Tufvesson - ETI 085 30