fdm based mimo spatio-temporal channel sounder...fdm cdm tdm realtime measurement hardware cost...
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FDM based MIMO Spatio-Temporal Channel Sounder
Graduate School of Science and Technology,Tokyo Institute of Technology
Kazuhiro Kuroda, Kei Sakaguchi, Jun-ichi Takada, Kiyomichi Araki
Motivation
The performance of MIMO communication system depends onthe directional as well as temporal behaviour of channel.
The field measurement data of MIMO channel are strongly requiredto develop and evaluate the MIMO communication systems.
An important difference between MIMO and SIMO channel sounding
the MIMO channel sounder needs some kind ofmultiplexing to distinguish between transmittingantennas.
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MIMO Channel Parameter Estimation
H =∑
iγi(t)e
−j2πfcτia(θri )(as(θ
si ))
T
h =∑
iγia(θr
i ) ⊗ as(θsi ) ⊗ af(τi)
Velocity Vector
DOAs
DODs
normal vectorBS
MS
# i
θri
θsi
ms-element array antenna
mr-element array antenna
Frequency response vector is introduced for the wideband measurement.
⊗ : Kronecker product
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A channel matrix at the center frequency of can be expressed asfcmr × ms H
The channel matrix can be reformulated toan dimensional vector .h
mr × ms × mf Hmr · ms · mf
Tokyo Institute of TechnologyApproach to Multiplexing
By using an analogy with multi-user communication scenarios,we considered three types of multiplexing techniques for soundingpurpose in terms of realtime measurement, hardware cost effectiveness,and major drawbacks.
The three types of multiplexing :
CDM ( Code Division Multiplexing )
TDM ( Time Division Multiplexing )
FDM ( Frequency Division Multiplexing )
It is realizable only by changing onetransmitter to the other antennas witha switch.
・Hardware cost
・Realtime measurement
Measurement which has ms timesbaseband signal period and furthermoreguard interval and switching are needed.
・Major drawback Absolute time synchronizationbetween transmitter and receiveris required.
excellent
poor
…
TDM based TechniqueTokyo Institute of Technology
Transmitter
Transmitter
・Hardware cost
・Major drawback
poor
・Realtime measurement excellent
Measurement period doesn’t dependon ms.
It needs ms transmitter channels.
Dynamic range of the system is limitedby ms due to cross-correlation betweendifferent codes.
Tokyo Institute of TechnologyCDM based Technique
Transmitter
f1 f2 f3・Hardware cost
・Major drawback
good
・Realtime measurement good
Measurement period is ms timesbaseband signal period.
It requires ms local oscillators, but one signal generator.
Some modification is needed forthe data model, since the frequencysample points in each transmittingantenna are different.
Tokyo Institute of TechnologyFDM based Technique
FDM
CDM
TDM
Realtime Measurement
Hardware Cost Major Drawback
good good
excellent
excellent
poor
poor
Comparison of Multiplexing
Frequency shift in Tx signals.
Synchronization between Tx and Rx
Cross-correlation between codes
FDM achieve both realtime measurement and hardware cost effectiveness.
Therefore, we chose the FDM based technique.
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f
f
Tx Antenna 1
Tx Antenna 2
Rx Antenna
DFT
f
f
f
Rate:
Multi-tone FDM
∆f =∆F
ms
∆f
Multi-tone Signal
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∆f
∆F
By using this, the parameter sets can be simultaneouslyestimated.
Channel Impulse Response
aFDM(τi)�= [1, e−2π∆fτi, · · · , e−j2π(ms−1)∆fτi]T
h′ =∑
iγi(t)ar(θ
ri ) ⊗ a′s(ψs
i ) ⊗ af(τi)
a′(ψsi ) = a(θs
i ) � aFDM(τi)
A FDM response vector is defined as
By using this vector, the transmitting array response vector is rewritten as
Therefore, the channel response vector for FDM based MIMO systemis written as
{θri , θ
si , τi}
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� : Hadamard product
Hardware Implementation
5845MHz
A/D DFT
Dow
nC
onve
rt
ES
PR
IT
PC
f
Arbitrary Waveform Generator
880MHz 880.125MHz4970MHz
125kHz
Low IF : 5MHz
5850MHz
5850MHz
Transmitter
Receiver
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S/P
Measurement Environment
Tx antenna
∆F
∆f
500kHz
125kHz
9.5MHz
30 times
about 30dB3-D Unitary ESPRIT
Rx antenna
Bandwidth
Snapshot
SNR
Estimation algorithm
2-element ULA
2-element ULA4m
Tx Rx
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anechoic chamber
Measurement Results
- Calibration error
- Setup error
The factor of the main error:
Setting Value : the every 15[deg] grid
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Conclusion
We implemented the FDM based MIMO channel Sounder.
We confirmed the validity of the FDM based architecture throughmeasurements in anechoic chamber.
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After considerable discussions about multiplexing techniques todistinguish between the transmitting antennas, the FDM based architecture was chosen to achieve cost effectiveness and realtimemeasurement.
In the frame work of FDM, we proposed a new transmitting signalconfiguration and a new algorithm to estimate the MIMO channelparameters.