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Wireless Channel Estimation

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Wireless Channel Estimation – PowerPoint PPT presentation

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Title: Wireless Channel Estimation


1
Wireless Channel Estimation
  • Faisal Darbari
  • University of Strathclyde
  • faisal_at_eee.strath.ac.uk

2
Introduction
  • To determine the relationship between the
    Received and the Transmitted signal.
  • Determination of Channel Parameters
  • Fading Characteristic
  • Higher Order Channel Statistics
  • Data Rate and the required Bandwidth
  • Power Issues, BER and Equalization
  • Noise and Interference

3
Sequence Of Presentation
  • Channel Measurement and Simulation
  • Channel Model
  • Large Scale Fading Effect
  • Small Scale Fading Effect
  • Future Work
  • Question and Answer Session

4
Channel Measurement and Simulation
  • Experimental and Simulation Techniques
  • The proposed design is a combination of two
  • Calibration

Time Domain Measurement Technique
  • Pulse Generation
  • Resolution
  • Transmission
  • Antenna
  • Multi-Path
  • Detection
  • Fading Statistics

5
Channel Measurement and Simulation
Vivaldi Antenna
CPW Monopole
Bow Tie
Patch Antenna
6
Large Scale Fading
Average Path loss as a function Transmitter and
Receiver separation
MMSE Technique is used to compute the average
path loss. Sample Variance is calculated and can
be added in the received power.
7
Large Scale Fading
8
Channel Characteristic
9
Channel Characteristic
50Psec
500 Psec
10
Small Scale Fading
  • Multipath in the radio channel creates small
    scale fading.
  • The Channel Delay Spread is measured to obtain
    the fading x-ties.
  • Second Order Statistic can be obtained
  • Bandwidth
  • Data Rate
  • BER
  • Level Crossing and Fading Rate
  • Coherence Bandwidth..

11
Small Scale Fading
12
Frequency Spectrum (Vivaldi Antenna)
13
Secondary Statistic
14
Small Scale Fading
15
Future Work and Relevance to Specknet
  • Channel Sounding with appropriate sized antenna
    with..
  • Different Scenarios (LOS, NLOS).
  • Estimation of Noise Floor.
  • Different Operating Environments with due
    consideration of material losses.
  • With Higher data rates the channel become
    frequency selective.
  • SNR and BER relation ship

16
Acknowledgment
  • Mr Ian McGregor
  • Mr Griogair Whyte
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