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Topics in nonlinear signal processing and system identification

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The filters w are adaptive Volterra filters. ... Adaptive Volterra algorithm is fast and can handle signals with large amplitude ... – PowerPoint PPT presentation

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Title: Topics in nonlinear signal processing and system identification


1
Topics in nonlinear signal processing and system
identification
Adaptive Volterra Filter for Pre-distorsion of a
RF High Power Amplifier
2
Source of information
  • J. Tsimbinos Identification and Compensation of
    Non-Linear Distorsion, 1995.
  • Chapter 5 Identification and Compensation of
    Nonlinearities With Memory Using the Volterra and
    Wiener Models.

3
Introduction
  • Non-linearities in RF HPA (Radio Frequency High
    Power Amplifier) is a large problem, since it can
    cause Amplitude/Phase distortion and can also
    cause ISI (Inter-Symbol-Interference).
  • This can create difficulties in Digital Radio
    Systems, especially for multicarrier techniques
    like WCDMA.

4
RF High Power Amplifier
Transmitter The D/A converter, the up-converter
and the amplifier all contain Non-Linear
elements which will distort the signal. In this
presentation we will look on the HPA.
5
RF High Power Amplifier
  • Example of a RF HPA characteristics (Data from a
    TWTA)

6
RF High Power Amplifier
  • The Non-Linearities of the HPA will distort the
    signal we want to transmit. A 16-QAM signal is
    shown .

Before HPA
After HPA
7
RF High Power Amplifier
The real part of the 16-QAM signal shown before
HPA (blue) and after (red).
8
Pre-distorter
By pre-distorting the 16-QAM signal with the
inverse of the Non-Linear system we will get the
original signal out from the non-linear HPA.
H
F
x(n)
u(n)
y(n)
9
Pre-distorter
Before pre-distorter
After pre-distorter
After HPA
10
Pre-distorter
The real part of the 16-QAM signal shown before
pre-distorter (blue) and after HPA (red).
11
Adaptive pre-distorter
When e(n) approaches zero, d(n) will approach
s(n).
s(n)
e(n)
12
Adaptive pre-distorter
  • The filters w are adaptive Volterra filters.
  • The Non-linear system can be described using a
    Volterra series

13
Adaptive pre-distorter
  • In the adaptive pre-distorter we are using a
    truncated Volterra filter (second order)
  • An LMS-type of algorithm is used for updating the
    Volterra coefficients.

14
Adaptive pre-distorter
HPA output without pre-distorsion
Before pre-distorter
Error signal of the adaptive algorithm
HPA output with adaptive pre-distorter
15
Conclusion
  • Adaptive Volterra algorithm is fast and can
    handle signals with large amplitude and phase
    shifts like a WCDMA signal.
  • It is very difficult to get a stable algorithm
    and it is very sensitive to choice of stepsize
    for the adaptive algorithm.
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