Cover image for Nonlinear RF circuits and nonlinear vector network analyzers : interactive measurement and design techniques
Title:
Nonlinear RF circuits and nonlinear vector network analyzers : interactive measurement and design techniques
Personal Author:
Series:
The Cambridge RF and microwave engineering series

Cambridge RF and microwave engineering series
Publication Information:
Cambridge, ENK. ; New York : Cambridge University Press, 2011
Physical Description:
xvi, 283 p. : ill. ; 26 cm.
ISBN:
9780521889957

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30000010277438 TK6560 R58 2011 Open Access Book Book
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Summary

Summary

With increasingly low-cost and power-efficient RF electronics demanded by today's wireless communication systems, it is essential to keep up to speed with new developments. This book presents key advances in the field that you need to know about and emerging patterns in large-signal measurement techniques, modeling and nonlinear circuit design theory supported by practical examples. Topics covered include: * Novel large-signal measurement techniques that have become available with the introduction of nonlinear vector network analyzers (NVNA), such as the LSNA, PNA-X and SWAP * Direct extraction of device models from large-signal RF dynamic loadlines * Characterization of memory effects (self-heating, traps) with pulsed RF measurements * Interactive design of power-efficient amplifiers (PA) and oscillators using ultra-fast multi-harmonic active load-pull * Volterra and poly-harmonic distortion (X-parameters) behavioral modeling * Oscillator phase noise theory * Balancing, modeling and poly-harmonic linearization of broadband RFIC modulators * Development of a frequency selective predistorter to linearize PAsion of broadband RFIC modulators * Development of a frequency selective predistorter to linearize PAsion of broadband RFIC modulators * Development of a frequency selective predistorter to linearize PAsion of broadband RFIC modulators * Development of a frequency selective predistorter to linearize PAs


Author Notes

Patrick Roblin is a Professor in the Department of Electrical and Computer Engineering at Ohio State University (OSU). He is the founder of the Nonlinear RF Research Laboratory at OSU and previously co-wrote the book High-Speed Heterostructure Devices (Cambridge University Press, 2002).


Table of Contents

Prefacep. xi
Acknowledgmentsp. xiv
1 Wireless signalsp. 1
1.1 Modern wireless communicationsp. 1
1.2 OFDM primerp. 3
1.3 Impact of clipping on OFDMp. 9
1.4 Spectral regrowth and clippingp. 12
1.5 Metricsp. 13
1.6 Multisinep. 14
Referencesp. 15
2 Large-signal vector measurement techniques with NVNAsp. 17
2.1 Measurement of RF signalsp. 17
2.2 Principle of operation of vector large-signal measurementsp. 19
2.3 Sampler-based principle of operationp. 23
2.4 Relative and absolute power and harmonic phase calibrationsp. 27
2.4.1 Calibration for connectorized devicesp. 27
2.4.2 On-wafer calibrationp. 33
2.5 Tuner deembedding with the LSNAp. 35
2.5.1 Definitionsp. 36
2.5.2 Extraction of ßC, ¿C, and ¿C in TCp. 38
2.5.3 Extraction of (1/KC)TPp. 38
2.5.4 Extraction of LRRM(Zx)p. 39
2.6 Modulated measurements and IF calibrationp. 39
2.6.1 Absolute time reference calibration for RF modulated measurementsp. 40
2.7 Broadband measurements with the LSNAp. 42
2.7.1 Principle of phase calibrationp. 44
2.7.2 Experimental results and discussionsp. 48
2.8 Pulsed-RF small- and large-signal measurementsp. 51
2.8.1 Analysis of pulsed-RF signalsp. 52
2.8.2 Pulsed I-V pulsed-RF measurement system with the LSNAp. 53
2.8.3 Measurement bandwidthp. 55
2.8.4 Envelope analysis of pulsed-RF signalsp. 56
2.9 Multiple recording of pulsed-RF signalsp. 58
2.9.1 Multiple recording for CW signalsp. 59
2.9.2 Multiple recording for jointly pulsed and modulated signalsp. 62
Referencesp. 63
3 Device modeling and verification with NVNA measurementsp. 66
3.1 Model verificationp. 66
3.2 Model symmetryp. 72
3.3 Device parasiticsp. 75
3.4 Model extraction from power-sweep measurementsp. 81
3.5 Model extraction from dynamic loadline measurementsp. 83
Referencesp. 87
4 Characterization and modeling of memory effects in RF power transistorsp. 89
4.1 Importance of memory effects in RF devicesp. 89
4.2 Distributed and transient models for self-heating in power transistorsp. 90
4.2.1 Steady-state thermal modelingp. 90
4.2.2 Implementation of the distributed thermal modelp. 92
4.2.3 Transient thermal responsep. 94
4.2.4 Modeling of the transient thermal responsep. 96
4.3 Identification of self-heating using pulsed I-V pulsed-RF measurementsp. 98
4.3.1 CW dynamic loadline measurement systemp. 99
4.3.2 Pulsed I-V pulsed-RF loadline measurement systemp. 99
4.3.3 Origin of the I-V knee walk-out in the CW-RF loadlinesp. 100
4.4 Trapping in GaN HEMTsp. 103
4.5 Characterization with a combined LSNA/DLOS systemp. 105
4.6 Quasi-static device parasiticsp. 108
4.7 Rate equation for physical modeling of trapping effectsp. 111
4.8 Two-trap-level modelp. 113
4.9 Cyclostationary effectp. 115
4.9.1 Theoryp. 115
4.9.2 Experimental investigationsp. 116
Referencesp. 120
5 Interactive loadline-based design of RF power amplifiersp. 124
5.1 Review of power amplifiers of various classes (A-F)p. 124
5.2 Output termination with load-pull measurementsp. 134
5.2.1 Active load-pull measurementsp. 135
5.2.2 Real-time active load-pull measurementsp. 136
5.3 Class-F design with RTALPp. 140
5.4 Complete design cycle for a pHEMT amplifierp. 147
5.5 RTALP of PAs for pulsed I-V pulsed-RF class-B operationp. 150
5.6 P1dB contour plotp. 154
5.7 Class-E PA operationp. 155
Referencesp. 158
6 Behavioral modelingp. 160
6.1 Behavioral model for SISO and MIMO systemsp. 160
6.2 Volterra modelingp. 161
6.2.1 Volterra algorithmp. 162
6.2.2 Model derivationp. 165
6.2.3 Analytic examplep. 168
6.2.4 Model extractionp. 171
6.2.5 Experimental model extraction and validationp. 172
6.2.6 Phase referencep. 174
6.2.7 Poly-harmonic distortion model (PHD)p. 175
6.3 Single-band multi-harmonic envelope PA modelp. 179
6.3.1 Input signalp. 180
6.3.2 Orthogonal Chaillot expansionp. 180
6.3.3 Memoryless nonlinear system modelingp. 183
6.3.4 Quasi-memoryless nonlinear system modelingp. 185
6.3.5 Power-series expansionp. 186
6.3.6 Multi-path model partitioningp. 187
6.3.7 Time-selective single-band multi-harmonic envelope PA modelp. 187
6.4 Two-band fundamental envelope PA modelp. 190
6.4.1 Nonlinear power-amplifier characterization with NVNAp. 192
6.4.2 Extension to higher-order nonlinearitiesp. 194
6.4.3 Modulated two-band modelp. 195
6.5 Appendix: Volterra series expansion for a four-tone excitationp. 198
Referencesp. 200
7 Kurokawa theory of oscillator design and phase-noise theoryp. 201
7.1 Oscillator operating pointp. 201
7.2 Kurokawa theory of oscillatorsp. 203
7.3 Vector measurement of device line with real-time active load-pullp. 207
7.3.1 Test oscillator circuitp. 207
7.3.2 Real-time multi-harmonic active load-pull systemp. 208
7.3.3 Experimental resultsp. 209
7.3.4 Self-oscillation testp. 213
7.4 Impact of white noise on an oscillatorp. 215
7.5 Impact of 1/f noise on an oscillatorp. 222
7.5.1 Derivation of Sa,1/f(¿¿)p. 223
7.5.2 Derivation of S¿,1/f(¿¿)p. 224
7.5.3 Range of validity of the Kurokawa equationsp. 227
7.6 Injection locking and additive phase-noise measurementsp. 229
7.6.1 Theoryp. 229
7.6.2 Experimental measurementsp. 233
Referencesp. 235
8 Design, modeling, and linearization of mixers, modulators, and demodulatorsp. 237
8.1 Vector characterization of an I-Q modulatorp. 237
8.1.1 Balancing of an I-Q modulatorp. 237
8.1.2 K modelingp. 238
8.1.3 I-Q modulator characterization with LSNAp. 240
8.1.4 K modeling of an I-Q modulator and an I-Q demodulator chainp. 243
8.2 Polyphase multi-path techniquep. 248
8.2.1 Nonlinear behaviorp. 249
8.2.2 Polyphase multi-path techniquep. 249
8.3 Poly-harmonic modeling of a single-sideband modulatorp. 253
8.3.1 Theoryp. 253
8.3.2 Poly-harmonic predistortion linearization test resultsp. 257
Referencesp. 261
9 Linearization of RF power amplifiers with memoryp. 262
9.1 Predistortion linearization and the impact of memory effectsp. 262
9.2 Predistortion for quasi-memoryless amplifiersp. 266
9.3 Linearization for PAs modeled with memory polynomialsp. 269
9.4 Two-band frequency-selective predistorterp. 274
Referencesp. 279
Indexp. 280