Lecture07_ChannelSounding

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    Channel Modelling ETI 085Lecture no:

    7

    Fredrik Tufvesson

    Department of Electrical and Information Technology

    Lund University, Sweden

    [email protected]

    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

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    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

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    Physical interpretation

    l

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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

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    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

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    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

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    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

    .

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    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

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    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

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    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

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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

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    Channel sounding directional antenna Measure one impulse

    response or eacantenna orientation

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    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

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    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

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    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

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    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

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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

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    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

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    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

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    Antennas

    To get good

    resolution we want

    4x16 dualpolarized circular 4x8 dualpolarized

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    rec angu ar array

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    Antennas cont.

    PDA device

    sleeve antenna array

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    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