CFO Estimation with ICI Cancellation for OFDM Systems - PowerPoint PPT Presentation

1 / 36
About This Presentation
Title:

CFO Estimation with ICI Cancellation for OFDM Systems

Description:

Title: PowerPoint Presentation Last modified by: yrtsai Created Date: 1/1/1601 12:00:00 AM Document presentation format: Other titles – PowerPoint PPT presentation

Number of Views:83
Avg rating:3.0/5.0
Slides: 37
Provided by: edut1550
Category:

less

Transcript and Presenter's Notes

Title: CFO Estimation with ICI Cancellation for OFDM Systems


1
CFO Estimation with ICI Cancellation for OFDM
Systems
  • ???

2
Outline
  • Motivations
  • Background knowledge
  • Conventional CFO estimation strategies
  • Modified CFO estimation strategies
  • Simulation results
  • Conclusions

3
Outline
  • Motivations
  • Background knowledge
  • Conventional CFO estimation strategies
  • Modified CFO estimation strategies
  • Simulation results
  • Conclusions

4
Motivations
  • Motivations
  • Every OFDM model has a specific form in the
    carrier frequency offset system.
  • When we estimate the frequency offset by
    pilot,the ICI still exists. It is intuitive to
    decrease the ICI first , then estimate it.

5
Outline
  • Motivations
  • Background knowledge
  • Conventional CFO estimation strategies
  • Modified CFO estimation strategies
  • Simulation results
  • Conclusions

6
OFDM System Model
  • The OFDM system model
  • C is pilot sequence
  • h is time domain channel impulse response
  • w is additive white Gaussian noise.
  • N data information S(k) which have been
    modulated with N modulation values X(k) on
    every sub-carrier

7
OFDM System Model
  • The nth sample of an OFDM block generated by IFFT

N number of subcarriers Ng length of cyclic
prefix
8
UWB Channel Model
cluster decay factor path decay
factor cluster arrival rate the
arrival rate of path within each cluster
  • Four environments in this UWB channel model
  • CM1 model is based on LOS (0-4m) channel
    measurements in 2

9
Outline
  • Motivations
  • Background knowledge
  • Conventional CFO estimation strategies
  • Modified CFO estimation strategies
  • Simulation results
  • Conclusions

10
Sensitivity for Carrier Frequency Offset
  • The OFDM system model with CFO

S ( k )
X ( k )
x(n)
Adding Cyclic Prefix P/S
S/P
Signal Mapper
Adding Pilots C(n) IFFT
x ( t )
DAC
Channel h ( t)
z (t )
AWGN w ( t)
Remove Cyclic Prefix S/P
r (t )
P/S
FFT
Signal Demapper
ADC
  • is the ratio of the actual
    frquency offset to the sub-carrier spacing

11
Sensitivity for Carrier Frequency Offset
  • The n-th received sample of the m-th symbol is
    given by

FFT
12
Sensitivity for Carrier Frequency Offset
  • .
  • Amplitude reduction
  • Phase shift
  • .

13
Pilot tone - aided CFO Estimation
  • PTA with weighting (PTAW) CFO estimation
  • Let P denote the set of indexes of the Np
    pilot carriers

f
Q
I
14
Outline
  • Motivations
  • Background knowledge
  • Conventional CFO estimation strategies
  • Modified CFO estimation strategies
  • Simulation results
  • Conclusions

15
Matrix form of R(k)

16

17

18
A math property
  • A(k) , k0N-1 is the DFT of
  • a(n) , n0,,N-1

19
The Problem
  • Can we find a matrix B, such that


20
  • B is in fact a matrix that does Gaussian
  • Reduction to

21
  • The term is the key point
    .Because if the ratio between each term is
    irrelevant to , then we can definitely
    finish the matrix B.

22
  • The numerator of
    is actually .
  • And the denominator
    because
  • So, we can regard as
  • Thus, the ratio between each term is
    irrelevant to .

23
  • However, is zero when k0 . So
    we need a estimate for the denominator of
  • Choose the PTAW estimate for the denominator of
  • B is the matrix does Gaussian reduction to the
    cyclic matrix
  • composed of

24
The Procedure
  • Step1 Estimate the frequency offset by PTAW
  • Step2 Substitute the estimate into the
    denominator of
  • Step3 multiply the matrix B with the incoming
    symbol and the previous symbol
  • Step4 Apply the PTAW again, then we have a more
    accurate estimate.

25
Outline
  • Motivations
  • Background knowledge
  • Conventional CFO estimation strategies
  • Modified CFO estimation strategies
  • Simulation results
  • Conclusions

26
Different Modulation
BPSK
27
QPSK
28
8PSK
29
16PSK
30
(No Transcript)
31
Recursive
Recursive
32
Random initial condition
Random initial condition 0.5 Delta_f0.1
33
Outline
  • Motivations
  • Background knowledge
  • Conventional CFO estimation strategies
  • Modified CFO estimation strategies
  • Simulation results
  • Conclusions

34
Conclusions
  • Advantages
  • The key advantages of our proposed algorithms is
    to provide more accurate frequency
    synchronization .
  • Estimate the frequency offset without knowing the
    channel response first.
  • Complexity NNp multiplier .

35
  • Thank you

36
Reference
  • 1 J. R. Foerster, Ed., Channel Modeling
    Sub-committee Report Final, IEEE P802.15 SG3a
    contribution.
  • 2 H. Chen and G.J. Pottie, "A Comparison of
    Frequency Offset Tracking Algorithms for OFDM",
    GLOBECOM '03, vol.2, pp. 1069-1073, Dec. 2003.
  • 3 K. Shi, E. Serpedin, and P. Ciblat,
    Decision-directed fine synchronization for coded
    OFDM systems, in Proc. IEEE International Conf.
    on Acoustics, Speech, and Signal Processing.
    (ICASSP04), vol. 4, pp. 365-368, 17-21 May 2004.
Write a Comment
User Comments (0)
About PowerShow.com