Model-Based Nonlinear Embedding For Power-Amplifier Design
Model-Based Nonlinear Embedding For Power-Amplifier Design
9, SEPTEMBER 2014
Abstract—A fully model-based nonlinear embedding device [6]. Furthermore, the intrinsic gate and drain voltages, which
model including low- and high-frequency dispersion effects is can cause unwanted forward gate to source conduction or re-
implemented for the Angelov device model and successfully verse breakdown in high electron-mobility field-effect devices,
demonstrated for load modulation power-amplifier (PA) applica-
tions. Using this nonlinear embedding device model, any desired are unknown to designers solely relying on load–pull measure-
PA mode of operation at the current source plane can be pro- ments [7].
jected to the external reference planes to synthesize the required Over the past decades, vector large-signal network analyzers
multi-harmonic source and load terminations. A 2-D identifica- (LSNAs) have made available to the designers, calibrated
tion of the intrinsic PA operation modes is performed first at time-domain voltage and current waveforms in the RF fre-
the current source reference planes. For intrinsic modes defined
without lossy parasitics, most of the required source impedance quency range at the external device planes [8]. Using this
terminations will exhibit a substantial negative resistance after technology, significant advances in large-signal modeling,
projection to the external reference planes. These terminations can model validation, and de-embedding methodologies have also
then be implemented by active harmonic injection at the input. been reported [9]–[14]. Thanks to those modeling efforts, the
It is verified experimentally for a 15-W GaN HEMT class-AB behavior of the devices at the intrinsic reference planes are
mode that, using the second harmonic injection synthesized by
the embedding device model at the input, yields an improved becoming more accessible to designers. Nevertheless, conven-
drain efficiency of up to 5% in agreement with the simulation. A tional PA design techniques rely on external driving sources
figure-of-merit is also introduced to evaluate the efficacy of the and loads to iteratively optimize the internal waveforms. On
nonlinear embedding PA design methodology in achieving the the contrary, Raffo et al. started the PA design process from
targeted intrinsic mode operation given the model accuracy. the intrinsic reference plane and embedded the nonlinear or
Index Terms—De-embedding, embedding, harmonic load–pull, linear parasitic components on top of the intrinsic load lines, to
large-signal model, load modulation, load synthesis, nonlinear, predict the input impedance and necessary harmonic loads at
power amplifier (PA).
the extrinsic reference planes (ERPs) [7], [15]. This technique
has been successfully applied to the design of class-E [16] and
I. INTRODUCTION class-F [17], [18] amplifiers. Detail embedding/de-embedding
methods circumventing low-frequency dispersions were re-
ported in [19]–[22]. In these methods, the intrinsic operation
W AVEFORM engineering has been introduced for im-
proving the efficiency of RF power amplifiers (PAs) by
minimizing the heat dissipation in active devices [1]. Also, con-
mode is established by means of low-frequency measurements.
In this paper, a fully model-based embedding approach will
be pursued for the non-quasi-static Angelov (Chalmers) model
tinuous class J/F modes have been recently proposed for wide-
[23], [24]. Beside its non-quasi-static topology and drain delay
band operation [2], [3]. However, the waveforms at the mea-
accounting for high-frequency dispersion, the Angelov model
surement reference planes (MRPs) are significantly distorted by
includes an electrothermal memory sub-circuit accounting for
linear/nonlinear parasitic components and packages, making it
low-frequency dispersion, as shown in Fig. 1(b). Memory ef-
difficult to directly apply these theories [4], [5]. Conventionally,
fects associated with traps could also be included in the circuit
harmonic source/load–pull measurements were performed to lo-
topology [25], [26]. In the strictly model-based nonlinear-em-
cate the optimal external loads in terms of performance figures
bedding approach pursued in this paper, the memory-effects af-
of merit such as output power or efficiency. However, load–pull
fecting the device characteristics (I–V and Q–V) are indeed in-
measurement data do not provide the intrinsic waveforms or the
tended to be directly calculated by the device model itself. This
PA mode of operation without de-embedding the measured data
contrasts with the low-frequency measurement approach where
the IV characteristic are acquired experimentally at a specific
Manuscript received October 25, 2013; revised January 26, 2014, April 21,
operating point and device temperature. On the other hand, pro-
2014, and May 30, 2014; accepted June 13, 2014. Date of publication July 10,
2014; date of current version September 02, 2014. This work was supported in vided the model accounts for all low-frequency memory effects
part by the National Science Foundation under Grant ECS 1129013. in the device, the model-based nonlinear-embedding approach
H. Jang and P. Roblin are with the Department of Electrical and Computer
is applicable to all operating points, device temperatures, and
Engineering, The Ohio State University, Columbus, OH 43210 USA (e-mail:
jang.131@osu.edu roblin@ece.osu.edu). dynamic load lines possible for the intrinsic device.
Z. Xie is with the Department of Electrical Engineering, North Carolina A&T To facilitate the projection of the transistor intrinsic mode of
University, Greensboro, NC 271411 USA.
operation to the external reference planes we shall introduce in
Color versions of one or more of the figures in this paper are available online
at http://ieeexplore.ieee.org. this paper an embedding transfer network (ETN), as shown in
Digital Object Identifier 10.1109/TMTT.2014.2333498 Fig. 1(b). An ETN is a nonlinear multi-port network used for the
0018-9480 © 2014 IEEE. Translations and content mining are permitted for academic research only. Personal use is also permitted, but republication/
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JANG et al.: MODEL-BASED NONLINEAR EMBEDDING FOR PA DESIGN 1987
Fig. 2. Packaged large-signal equivalent circuit using Angelov model equations is used for loads synthesis process. The red (in online version), light blue (in
online version), dark blue (in online version), and black boxes defines the CRP, ERP, PRP, and MRP, respectively.
intrinsic transistor operation modes and the mode projection to Note also that use is made of the notation and to
the external reference planes will be presented in Section II. An indicate the time- and frequency-domain voltages, respectively,
overview of the model extraction performed will be presented in
Section III. The performance of the PA under load modulation
and input harmonic injection will be first studied in simulation
in Section IV, and compared to the measurements in Section V.
Conclusions will then be drawn in Section VI. The intrinsic device operation can be fully controlled by the
designer by applying any type of excitation between the in-
trinsic gate and source and between the drain and source. This
II. INTERNAL DESIGN AND EMBEDDING PROCESS includes, for example, the self-consistent case of a dc supply
voltage and arbitrary harmonic impedance terminations applied
A. Embedding Nonlinear Parasitics between the drain and source terminals. The resulting outputs
from the intrinsic device operation simulation include the in-
The circuit topology used for this work including the intrinsic
trinsic drain currents , the drain voltage , and the gate
device model, the linear and nonlinear parasitic networks, the
voltage , as shown in Fig. 1. Note that only the drain dc–IV
package circuit model, and the device access circuit is shown in
is included among the device dc current
Fig. 2. The packaged device is mounted on a circuit board and
sources. Thus, the dc gate current leakage is assumed to be part
connected to the RF connectors via access lines. The RF mea-
of the parasitic network and the intrinsic gate current at the CRP
surements are performed at the connector levels, which define
is zero and not needed.
the MRP. The reference plane outside the package is referred to
Given the desired intrinsic voltages and and cur-
as the package reference plane (PRP), while the reference plane
rent , the required branch currents through the nonlinear
inside the package is referred to as the ERP. The intrinsic non-
and linear parasitic elements and the required node voltages to
linear drain current at the current source reference plane (CRP)
maintain the intrinsic operation can be readily calculated. In this
is a function of the intrinsic node voltages and and
work, this embedding process is done with the help of a multi-
the junction temperature,
port circuit, the so-called ETN of Fig. 1(b), which is composed
itself of multiple linear/nonlinear parasitic sub-circuits of the
(1)
device model, as shown in Fig. 3. It shows the complete ETN
for the intrinsic mode projection from the CRP to the ERP.
Note that high-frequency dispersion effect associated with the
Note that this embedding process, which thus works in the
drain propagation delay is included as part of the intrinsic de-
reverse direction of de-embedding, encompasses nonlinear el-
vice model. The thermal network, which is shown in a sepa-
ements accounting with non-quasi-static effects, as shown in
rate CRP box on Fig. 2, is actually part of the intrinsic device
Fig. 3(a) and (b). General equations for a quasi-static model are
model. The instantaneous dissipated power is a function
given in [7]. For the non-quasi-static Angelov model, the fol-
of the intrinsic voltages and currents. Other low-frequency dis-
lowing self-consistent equations needs to be solved:
persion effects like trapping could also be included. Thus, the
intrinsic device model is not necessarily memoryless like the
intrinsic IV characteristics, but may include low-frequency dis-
persion and high-frequency dispersion effects. It is further noted
that the charges and , which shunt the diodes and (2a)
, are connected in series with the resistance and , re-
spectively. Thus, the Angelov device model cannot be separated
in a pure resistive and capacitive core and the embedding device
model will rely instead on the defined current reference plane. (2b)
JANG et al.: MODEL-BASED NONLINEAR EMBEDDING FOR PA DESIGN 1989
Once the external voltage and currents (flowing into the de-
vice) are obtained, the complete set of external sources and loads
can be calculated in the frequency domain for each harmonic
(for on the source side) using the usual formula
(3)
(4)
(5)
Fig. 8. Simulated 2-GHz load lines and waveforms at the CRPs (a) and (e), respectively, are embedded to the ERPs in (b) and (f), the PRPs in (c) and (g), and the
MRPs at the connectors (d) and (h). (a) and (e) Current source. (b) and (f) Extrinsic. (c) and (g) At package. (d) and (h) At connector.
Fig. 9. Simulated 2-GHz intrinsic load and source reflection coefficients shown in (a) and (e), respectively, at the CRP, are successively mapped using the
ETN to each of the external reference planes: in (b) and (f) for the ERP in (c) and (g) for the PRP, and in (d) and (h) for the MRP. (a) and (e) Current source.
(b) and (f) Extrinsic. (c) and (g) At package. (d) and (h) At connector.
generated during the embedding process, are shown at each of The source reflection coefficients are calculated in the fre-
the reference planes of interest in Figs. 8 and 9, respectively. quency domain using
As can be seen in Fig. 9(a) and (e), the second and third har-
monic source and load reflection coefficients are “ 1” (short) at (6)
the intrinsic reference plane, as expected for an ideal class-B op-
eration. The fundamental loads, , have only real compo- where and are gate voltage and current phasors and is
nents at the intrinsic reference plane, as shown in Fig. 9(a). The the reference impedance. Since are “0” given the tran-
six circles (red in online version) correspond to the loads at the sistor IV model used at the CRP has infinite input impedance
six considered power levels. The arrow in the figure is showing at all harmonics, and since a generator is only connected at the
the required variation of the loads as the input and output power fundamental frequency, we have
are increased. for and , as shown in Fig. 9(e).
1994 IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES, VOL. 62, NO. 9, SEPTEMBER 2014
Fig. 13. Intrinsic load lines are compared for the two cases of shorted har-
Fig. 11. Phase of the injected second harmonic at 4 GHz was swept in simula- monics at intrinsic reference planes and ERPs.
tion and measurement. The extracted model (solid line, blue, in online version)
and the CREE model (dashed-line, magenta, in online version) were used in the
simulations.
mode projection at high frequencies. Indeed harmonic termi-
nation placed at the low-frequency ERP will permit the mode
mapping to partially offset the series feedback introduced by
the source resistance .
To illustrate it, consider in simulation the case of a transistor
operating in class B where the harmonic shorts are applied
intrinsically (CRP) or extrinsically (low-frequency ERP). The
extrinsic series resistances were
used in Fig. 12(b). The very small gate leakage current can be
ignored. The fundamental RF gate drive and the device biasing
were adjusted for the device to have approximately the same
intrinsic mode of operation in both cases. Indeed, as shown in
Fig. 13, due to the small parasitic resistances, the intrinsic load
lines constructed with the extrinsic harmonic shorts closely
overlap with those obtained with the intrinsic harmonic shorts
even though the intrinsic harmonic voltages are not perfectly
suppressed when using low-frequency extrinsic harmonic
shorts.
The obtained intrinsic voltages and and current
were then used in both cases by the nonlinear ETN to pre-
dict the extrinsic harmonic terminations (reflection coefficients)
required at 2 GHz to maintain their respective intrinsic mode
of operation. Note that the exact same Angelov ETN of Fig. 3
Fig. 12. Lossless harmonic terminations can be applied at: (a) the current refer-
was used for both cases. The results are summarized in Table I.
ence plane (CRP) with no parasitics or at (b) the low-frequency ERPs (low-fre- From this table, it is verified that harmonic load reflection coef-
quency ERP) using only resistive parasitics. ficients of similar amplitudes slightly above one (negative resis-
tance) are observed in both the intrinsic and extrinsic harmonic
short cases. However, as expected, harmonic source reflection
The results presented in Section IV-C focused on using ac- coefficients with substantially smaller amplitude are observed
tive harmonic injection to synthesize the desired intrinsic mode in the extrinsic harmonic short case compared to the intrinsic
of operation while improving the device efficiency. In such a short case while still being larger than one.
case, to obtain the most optimal intrinsic mode of operation, the
harmonic terminations were directly applied at the CRP of the E. Harmonic Reflection Coefficient Re-Normalization
intrinsic device, as shown in Fig. 12(a). As mentioned in the previous sections, the projected har-
However, the designer is free to select any circuit for the monic sources and loads are usually active even when using ex-
mode mapping and thus can include the resistive parasitics of trinsic harmonic terminations for the mode mapping. Three dif-
the device, as shown in Fig. 12(b). When passive harmonic ferent re-normalization approaches for the harmonic reflection
loads are to be used, harmonic termination placed at the low- coefficients were investigated to implement the closest lossless
frequency ERP will provide a way to reduce the negative re- harmonic terminations. First, the magnitude was reduced while
sistances in the source harmonic termination when doing the the phase was kept the same as shown in (7). For the other two
1996 IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES, VOL. 62, NO. 9, SEPTEMBER 2014
TABLE I
SIMULATED SECOND AND THIRD HARMONIC REFLECTION COEFFICIENTS PROJECTED TO THE ERPs AT 2 GHz BY
THE EMBEDDING DEVICE MODEL FOR BOTH OF THE INTRINSIC AND EXTRINSIC HARMONIC SHORT CASES
Fig. 15. Passive harmonic load–pull measurement setup with an LSNA was
used for the linear load-modulation. It was combined with an ASP for the second
harmonic injection at the input.
Fig. 14. Photograph of the test bed used for measuring the 15-W peak power 3.5-A saturated drain current. The device-under-test (DUT)
GaN device (CGH27015F, CREE Inc.) [39]. A pressure bar (removed in the
photograph) was used to electrically connect the device leads to the microstrip was mounted on a copper heat sink, which sat on a thermal
lines of the test-bed. chuck with controlled temperature. All the measurements were
performed at a chuck temperature of 25 C.
Fig. 15 shows the passive harmonic load–pull setup used
cases, the magnitude was reduced following either a constant with an LSNA (MT4463A) to verify the linear load modulation
reactance circle or a constant susceptance circle on the Smith design. The harmonic injection measurements were conducted
chart, as expressed by (8) and (9), respectively. In these two using the Agilent ESG4438C and Anritsu MG3692A signal
cases, the phase of the reflection coefficients will vary, sources combined with a diplexer. A triplexer (Maury Mi-
crowave, 9677G, 7 mm) working at 2 GHz was connected with
(7) two sliding shorts for the second and third harmonic loads and
an automatic mechanical tuner for the fundamental load.
(8)
B. Experiment Conditions
(9) The excitation powers and loads predicted by the embedding
device model were applied to the DUT. Six fundamental loads
The three methodologies were found in practice to exhibit a and associated harmonic conditions for the linear load modula-
similar performance in terms of PAE for the DUT considered. tion operation were implemented using the passive tuners to be
Experimental results will be presented in Section V. as close as possible to the ones predicted by the embedding de-
vice model given the loss in the test bed. This yielded the load
terminations shown in Fig. 16, which were applied to the output
V. MEASUREMENTS AND DISCUSSION of the DUT.
As mentioned in Section IV-B, the predicted harmonic
A. Measurement Setup
sources and loads are usually active although some of them do
The 15-W peak power commercial GaN device fall inside the Smith chart, but close to the edge. Furthermore,
(CGH27015F, CREE Inc.) shown in Fig. 14 in its test bed was in practical passive load–pull systems, the amplitude of the
used for both the (a) linear load-modulation class-B design harmonic load reflections, which can be attained at the MRP,
with constant efficiency and (b) the second harmonic injection is limited to a maximum value by the loss
for PAE improvement. The packaged (440166) device provides in the various cables, 7-mm junctions, triplexer, and sliding
2-W average power with 28-V drain voltage. It provides short tuners. The re-normalization approach of (7) modified to
JANG et al.: MODEL-BASED NONLINEAR EMBEDDING FOR PA DESIGN 1997
Fig. 17. Fundamental and second: (a) harmonic amplitude and (b) phase at
Fig. 16. Experimental harmonic loads provided by the passive tuners 2 GHz versus the fundamental incident power as predicted by the class-B pro-
at the MRP and applied to the DUT. , jection with the embedding device model and actual values used in the measure-
. The fundamental loads provided from low to ment. The predicted phase ( ) are labeled as “constructive” and the opposite
high power were , , , , phase ( ) as “destructive.” The amplitude of the fundamental is also shown for
, and at 2 GHz. reference.
TABLE II
RMS VALUES FOR THE CURRENT, VOLTAGE, AND GEOMETRICAL DEVIATIONS
OF THE SIMULATED INTRINSIC LOAD LINES FROM THE MEASURED
AND DEEMBEDDED INTRINSIC LOAD LINES
(11)
Once the nonlinear DTN is available, it can be used to
estimate the actual intrinsic load lines implemented for the load where can either be the drain current or drain voltage, and
modulation operation by the nonlinear embedding PA design represent the measured and simulated data, respectively, and
technique. Fig. 19 compares the intrinsic load lines de-em- is the number of samples per one cycle. The time-domain
bedded ( , red in online version) from the measured voltages voltage and current waveforms were normalized in magni-
and currents to the ones obtained using circuit simulations tude by their time-domain peak values . The various mea-
with the Angelov (solid line, blue in online version) and CREE surements were also synchronized using time alignment such
(dashed line, magenta in online version) models. Two intrinsic that the phase of the fundamental voltage excitation at port 1 be
load lines among the previous six loads considered are singled set to zero in all techniques
out: one for the highest power (top) and the other one for the
lowest power (bottom).
The intrinsic load lines are directly accessible in the extracted (12)
Angelov model implemented in the circuit simulator. For the
CREE model, the device manufacturer (CREE Inc.) provided
where is the time-domain peak value, is the phase
a new six-port model with ports giving access to the internal
of the fundamental voltage, and is the number of harmonics
voltages and currents at the current source planes [40]. In the
used. The geometric mean ( ) of the voltage and current rms
harmonic-balance simulations, the Angelov and CREE models
values was also calculated to provide a single comprehensive
were both terminated at the output by the practical measured figure-of-merit for the deviation between the measured and sim-
loads shown in Fig. 16. The measured fundamental ulated load lines
excitation was applied at the input while the higher
input harmonics were terminated by the test-bed reflection
coefficients as in the no-harmonic injection case in (13)
Fig. 10. The simulations and the de-embedding of the measured
data were performed using four harmonics to match the number The calculated results are summarized in Table II. The
of harmonics measured. smaller numbers obtained for the geometric mean of the CREE
model compared to that of the extracted Angelov model are
The intrinsic de-embedded load lines from the measured data
indicative of the better fit provided by this model in agreement
reveal that the intended load modulation for the various input
with Fig. 19. Further improvement in modeling accuracy will
excitation power levels are indeed achieved and agree reason-
help reduce these rms errors. Parts of the limitation of the
ably well with the simulated load lines (Angelov and CREE) present model is that the Angelov model used in this paper does
within the modeling accuracy range. The difference between the not account for the nonlinear influence of the trapping effects
Angelov (solid line, blue in online version) and CREE (dashed [41]. In [7], this was fully addressed for the case where the
line, magenta in online version) models is a direct measure of memory effects are located in the intrinsic FET by using the
the Angelov model extraction accuracy since that model was measured low-frequency RF load line. Alternately the effective
extracted from the CREE model. The measured voltages and intrinsic IV characteristics including memory effects used by
currents that were de-embedded using the Angelov based DTN the device can be extracted from nonlinear RF measurements
are also affected by the Angelov model extraction accuracy. [9]–[14], [42].
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[22] A. Raffo, V. Vadalà, and G. Vannini, Microwave De-embedding: From Haedong Jang (S’09) was born in Wonju, Korea,
Theory to Application. Oxford, U.K.: Academic, 2014, ch. 9. in 1971. He received the B.S. degree in electrical
[23] I. Angelov, L. Bengtsson, and M. Garcia, “Extensions of the Chalmers engineering from Kangwon National University,
nonlinear HEMT and MESFET model,” IEEE Trans. Microw. Theory Chuncheon, Korea, in 1994, the M.S. and Ph.D.
Techn., vol. 44, no. 10, pp. 1664–1674, Dec. 1996. (ABD) degrees in electrical and computer engi-
[24] I. Angelov, “Empirical nonlinear IV and capacitance LS models and neering from Inha University, Incheon, Korea,
model implementation,” in MOS-AK GSA Workshop, Dec. 2009, pp. in 2005 and 2008, respectively, and is currently
1–51. working toward the Ph.D. degree in electrical and
[25] C. K. Yang, P. Roblin, D. Groote, S. Ringel, S. Rajan, J.-P. Teyssier, computer engineering at The Ohio State University,
C. Poblenz, Y. Pei, J. Speck, and U. K. Mishra, “Pulsed-IV pulsed-RF Columbus, OH, USA.
cold-FET parasitic extraction of biased AlGaN/GaN HEMTs using In 1996, he joined a nonprofit governmental organ-
large signal network analyzer,” IEEE Trans. Microw. Theory Techn., ization, Small Business Corporation, Shiheung, Korea. He was a Product De-
vol. 58, no. 5, pp. 1077–1088, May 2010. velopment Assistant Consultant until 2007, and had been involved in over 100
2002 IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES, VOL. 62, NO. 9, SEPTEMBER 2014
commercialized consumer product developments. His main interests include both undergraduate and graduate students. He is the lead author of a textbook on
PAs design, nonlinear devices characterization, modeling, and PAs lineariza- high-speed heterostructure devices published by Cambridge University Press.
tion. His current research topic focuses on model-based high average efficiency His current research interests include the measurement, modeling, design, and
PAs design. linearization of nonlinear RF devices and circuits such as oscillators, mixers,
Mr. Jang was a corecipient of First Place in the 2012 IEEE Microwave Theory and PAs.
and Techniques Society (IEEE MTT-S) International Microwave Symposium
(IMS) student development of a Large-Signal Network-Analyzer Round-Robin
Design Competition.
Zhijian Xie (M’01) was born in Jilin, China, in
1969. He received the B.S and M.S. degrees in
solid-state physics from the University of Science
Patrick Roblin (M’85) was born in Paris, France, and Technology of China, Hefei, China, in 1992 and
in September 1958. He received the Maitrise de 1995, respectively, and the Ph.D. degree in electrical
Physics degree from the Louis Pasteur University, engineering from Princeton University, Princeton,
Strasbourg, France, in 1980, and the M.S. and D.Sc. NJ, USA, in 2001.
degrees in electrical engineering from Washington He is currently an Assistant Professor of electrical
University, St. Louis, MO, USA, in 1982 and 1984, and computer engineering with the Department of
respectively. North Carolina Agricultural and Technical State
In 1984, he joined the Department of Electrical (North Carolina A&T State University) University,
Engineering, The Ohio State University (OSU), Greensboro, NC, USA. Prior to joining North Carolina A&T State University,
Columbus, OH, USA, as an Assistant Professor, and he worked eight years in the semiconductor industry with DSM Solutions Inc.
is currently a Professor. He is the founder of the (now SuVolta Inc.), RF Micro Devices Inc., and Agere systems Inc., in the field
Non-Linear RF Research Laboratory, OSU. With OSU, he has developed two of semiconductor and RF devices.
educational RF/microwave laboratories and associated curriculum for training