A reciprocal MIMO-UWB Radio Channel Deterministic Modeling Framework CROWNCOM - 2006 Mykonos June 10 - PowerPoint PPT Presentation

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A reciprocal MIMO-UWB Radio Channel Deterministic Modeling Framework CROWNCOM - 2006 Mykonos June 10

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Title: A reciprocal MIMO-UWB Radio Channel Deterministic Modeling Framework CROWNCOM - 2006 Mykonos June 10


1
A reciprocal MIMO-UWB Radio Channel
Deterministic Modeling FrameworkCROWNCOM -
2006Mykonos June 10
  • B. Uguen,L.-M. Aubert, F. Tchoffo Talom,
  • bernard.uguen_at_insa-rennes.fr

2
OUTLINE
  • Interest of site-specific transmission channel
    simulation
  • Description of the proposed formalism
  • SISO case
  • MIMO case
  • Antenna plug in
  • Emphasis on channel reciprocity
  • Illustrations from the simulation tool
  • Effect of antennas on the UWB transmission
    channel
  • 2X2 MIMO situation
  • Conclusion

3
UWB application context
  • Short range High data rate systems (OFDM,
    DS-CDMA)
  • WPAN
  • Low data rate systems with location capabilities
  • Sensor networks

? Indoor propagation is the most common situation
4
Interest of site-specific channel simulation
Site-specific channel simulation can be
advantageously used to
  • Evaluate channel characteristics in site-specific
    situation
  • Study the effect of antennas on the transmission
    channel
  • Evaluate location capabilities of a radio network
    in a given environment
  • Study the spatial structure of the channel
  • Build heterogeneous radio scenario
  • Evaluate time reversal focusing techniques

5
Ray tracing techniques for propagation channel
simulation
  • RT techniques approach radio propagation
    through a finite number of rays
  • Upon each ray are encountered localized
    interactions with obstacles which separate Tx
    from Rx as diffraction, reflection, double
    refraction (wall, doors, windows,)
  • The ray cluster that is obtained is conditioned
    by the geometry of the floor and by constitutive
    properties of building materials.
  • The E.M field is constructed using GO/UTD
    techniques.

6
The matrix propagation channel
a Tx b Rx k ray l interaction
Stored for each ray
7
The propagation channel (without antennas)
Indoor 3D Ray tracing 3D
Matrix channel in the time domain
8
Exhaustive vectorial description of antennas
The vectorial knowledge of antenna (antenna
array) radiation can be obtained
  • Closed form analytical expressions (few simple
    antennas)
  • Electromagnetic simulation (HFSS, CST, )
  • Near-field measurements

Unitary property
9
Wideband measurements in a near-field chamber
Near Field chamber Satimo Stargate 32 (0.8-6GHz)
Electric field polarization ellipse in the far
field Antenna CMA-118A (f 3 GHz)
10
Introducing the antenna into the channel model
Scalar ray transfer function
11
SISO static transmission channel
Transmission channel reciprocity
Ray propagation reciprocity
12
MIMO static transmission channel
  • MIMO channel

(NxM) RT
1 RT
13
MIMO transmission channelApproximated approach
  • MIMO channel matrix obtained with 1 R.T

Steering vector side a
Steering vector side b
14
MIMO mutual coupling
  • MIMO transmission channel with mutual coupling

As mutual coupling matrices are symmetric
15
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16
Synthesis of an antenna LOS radio link
Frequency (GHz)
Frequency (GHz)
Measured link (FT(S21))
Synthetised link from NFC measurements
17
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18
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19
MIMO configuration
MIMO channel 2x2
fc 4 GHz B(-10dB) 2 GHz d c / fc
20
MIMO channelApproaches comparison
omnidirectional antennas
directional antennas
MIMO Matrices (Exact)
MIMO Matrices (Approximated)
21
AOA repartition MIMO 2x2
Omnidirectionnal antennas azimuth
22
Conclusion
  • Deterministic E.M simulation can be used to model
    typical UWB indoor channel situations
  • We have proposed a framework which establishes a
    bridge between RT and classical channel model
    formalisms
  • It take into account antenna mutual coupling and
    radiation pattern of individual elements of each
    array
  • It underlines the transmission channel
    reciprocity
  • This kind of simulation tool can help
  • To study of the effect of antenna
  • To evaluate location algorithms
  • To build an heterogeneous radio environment
    simulator
  • For better understanding of what amount of
    useful information the channel has to offer.

23

Thank You
bernard.uguen_at_insa-rennes.fr
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