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Digital predistortion

Digital predistortion

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In [1], Katz etal. provide an overview about history of power amplifier (PA) linearization and draw the picture for its motivation. The concern in linearizing power amplifier dates from the beginning of broadcasting and the expansion of the telecommunications in the 1920s [1]. In these early years, the feedforward approach was introduced by the Bell Labs to mitigate the cross modulation of voice-modulated carriers transmitted through cable and repeaters. A few years later, the Bell Labs introduced the feedback linearizer architecture which has the advantage over the feedforward architecture to be self-adaptive to drifts but has the drawback to be narrowband regarding nowadays needs.

Chapter Contents:

  • 3.1 Why do we need predistortion?
  • 3.1.1 Waveform features
  • 3.1.1.1 Complementary cumulative distribution function
  • 3.1.1.2 Peak-to-average power ratio
  • 3.1.1.3 Frequency bandwidth
  • 3.1.1.4 Stationarity
  • 3.1.2 System level considerations
  • 3.1.2.1 Linearity–efficiency trade-off
  • 3.1.2.2 System level trade-off
  • 3.1.2.3 Figures of merit
  • 3.2 Principles of predistortion
  • 3.3 Analog vs digital predistortion
  • 3.4 Mathematical aspects
  • 3.4.1 Baseband formulation
  • 3.4.2 pth-Order inverse of linear system
  • 3.5 Models for DPD structures
  • 3.5.1 Parametric models
  • 3.5.1.1 Block-oriented nonlinear model
  • 3.5.1.2 Pruning of Volterra series
  • 3.5.1.3 Modified or dynamic Volterra series
  • 3.5.1.4 Orthogonal Volterra series
  • 3.5.1.5 Models with segmentation
  • 3.5.1.6 Switched models
  • 3.5.1.7 Neural networks models
  • 3.5.2 Nonparametric models
  • 3.6 Identification
  • 3.6.1 Indirect learning architecture
  • 3.6.2 Direct learning architecture
  • 3.6.3 DPD with iterative learning control (ILC)
  • 3.7 Wideband and subband processing
  • 3.8 Multidimensional predistortion
  • 3.8.1 Linearization of noncontiguous carrier aggregation
  • 3.8.2 Multiple input multiple output
  • 3.9 Model sizing
  • 3.9.1 Model sizing by hill climbing heuristic
  • 3.9.2 Model sizing by integer genetic algorithm
  • 3.9.3 Model sizing using orthogonal matching pursuit (OMP) algorithm
  • 3.10 Joint mitigation of various impairments
  • 3.10.1 Cooperation with crest factor reduction (CFR)
  • 3.10.2 Processing of imperfections
  • 3.10.2.1 IQ imbalance and DC offset compensation
  • 3.10.2.2 Load mismatch or variation of power amplifier gain
  • 3.11 Overview of companion signal processing
  • 3.11.1 Synchronization
  • 3.11.2 Sampling frequency
  • 3.11.3 Monitoring
  • 3.12 Implementation
  • 3.13 Conclusion
  • References

Inspec keywords: feedforward amplifiers; linearisation techniques; power amplifiers

Other keywords: Bell Labs; voice-modulated carriers; power amplifier linearization; feedforward approach; feedforward architecture; cross modulation mitigation; feedback linearizer architecture; digital predistortion

Subjects: Nonlinear network analysis and design; Amplifiers

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