Hot S22 is the large-signal output reflection coefficient of a power amplifier measured while the device is driven at its nominal operating power, capturing the active load-pull impedance presented at the output port under realistic modulated stimulus. Unlike the standard small-signal S22 parameter obtained from a vector network analyzer at low power, Hot S22 reflects the dynamic impedance variations caused by nonlinear device behavior, gain compression, and self-heating effects that fundamentally alter the transistor's output characteristics during transmission.
Glossary
Hot S22

What is Hot S22?
Hot S22 is the large-signal output reflection coefficient of a power amplifier measured under nominal drive conditions, representing the true output impedance during active operation rather than the small-signal S-parameter measured with a vector network analyzer.
Accurate knowledge of Hot S22 is critical for designing the Doherty combiner network and output matching circuitry, as the impedance inverter must transform this large-signal impedance—not the cold S22—to achieve proper load modulation and maximum power-added efficiency. Designers typically extract Hot S22 through nonlinear load-pull analysis or by simulating the amplifier under realistic drive-up conditions using a validated behavioral model, ensuring the combiner network presents the optimal impedance for both the carrier amplifier and peaking amplifier across the entire dynamic operating range.
Key Characteristics of Hot S22
Hot S22 represents the output reflection coefficient of a power amplifier under nominal drive conditions, distinct from small-signal S22 and critical for accurate Doherty combiner network design.
Large-Signal vs. Small-Signal S22
Hot S22 is measured with the amplifier driven at its nominal operating power, capturing the nonlinear output impedance under realistic conditions. Unlike small-signal S22—measured at low power with a vector network analyzer—Hot S22 reflects the impedance the transistor presents when its intrinsic capacitances and transconductance vary with signal envelope. This distinction is critical because the Doherty combiner must provide the correct impedance transformation at full drive, not at idle.
Impact on Doherty Combiner Design
The Doherty combiner's impedance inverter is designed to transform a specific load impedance to the optimal value for the carrier amplifier. Using cold S22 (small-signal) for this design leads to combiner networks that are mistuned under drive. Key consequences include:
- Suboptimal load modulation at peak power
- Degraded back-off efficiency
- Increased AM-PM distortion requiring heavier predistortion
- Reduced gain flatness across the dynamic range
Measurement Techniques
Hot S22 cannot be measured with a standard VNA alone. Common approaches include:
- Active load-pull systems: Present a controlled impedance while driving the amplifier, extracting the reflection coefficient from incident and reflected waves
- Two-source nonlinear VNA: Uses a second source to inject a probe tone at the output while the amplifier is driven, enabling X-parameter or S-function extraction
- Hot S22 extraction from load-pull contours: Deriving the intrinsic output impedance from the shape of constant-power contours on the Smith chart
Frequency Dependence and Harmonic Content
Hot S22 is not a single value but varies with:
- Fundamental frequency: The output impedance shifts across the operating band due to package parasitics and matching network dispersion
- Drive level: Impedance changes from small-signal through compression to saturation
- Harmonic frequencies: The second and third harmonic terminations presented by the combiner affect efficiency, making harmonic Hot S22 equally important for Class-F and inverse Class-F designs
- Modulation bandwidth: For wideband signals, the impedance may exhibit frequency-dependent memory within the signal bandwidth
Relationship to Load-Pull Optimization
Hot S22 is the dual of load-pull analysis. While load-pull asks 'what impedance should I present to the device for optimal performance?', Hot S22 answers 'what impedance does the device present to the combining network?' The two must be conjugate-matched for maximum power transfer. In Doherty design:
- The carrier amplifier's Hot S22 at back-off determines the impedance inverter's characteristic impedance
- The peaking amplifier's Hot S22 at saturation influences the combining node impedance
- Mismatch between designed and actual Hot S22 creates standing waves that degrade combiner efficiency
Modeling Hot S22 in Nonlinear Simulators
Modern harmonic balance and envelope transient simulators can predict Hot S22 from foundry transistor models. However, model accuracy at compression is often limited. Best practices include:
- Validating simulated Hot S22 against measured load-pull data
- Using X-parameter models extracted from nonlinear VNA measurements for black-box amplifier representations
- Incorporating self-heating and trap effects in the transistor model to capture dynamic impedance shifts
- Running power-swept S-parameter simulations to observe the transition from cold to hot impedance
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Frequently Asked Questions
Clarifying the large-signal output reflection coefficient and its critical role in Doherty power amplifier design and digital predistortion optimization.
Hot S22 is the large-signal output reflection coefficient of a power amplifier measured under nominal drive conditions, representing the active impedance presented at the output port when the amplifier is operating at its intended power level. Unlike the classic small-signal S22 parameter—which is measured with a low-power vector network analyzer stimulus and characterizes the linear, passive output impedance of a cold or quiescent transistor—Hot S22 captures the dynamic, nonlinear impedance state that exists during actual transmission. This distinction is critical because the transistor's output impedance shifts dramatically under large-signal excitation due to gain compression, knee voltage effects, and self-heating. Small-signal S22 is fundamentally insufficient for designing the Doherty combiner network, as the impedance inverter and post-matching network must be synthesized to present the correct load to the carrier amplifier's current source plane while it is actively delivering power. Hot S22 is typically extracted through active load-pull analysis or derived from nonlinear behavioral models such as the Poly-Harmonic Distortion (PHD) model or X-parameters, which characterize the scattered wave response as a function of the incident large-signal A-wave magnitude.
Related Terms
Understanding Hot S22 requires familiarity with the surrounding concepts in Doherty amplifier design and nonlinear characterization. These terms form the foundation for designing the combiner network under realistic large-signal operating conditions.
Doherty Combiner
The output network that combines the carrier and peaking amplifier outputs while performing the necessary impedance transformations for load modulation. Hot S22 directly determines the optimal combiner design because it represents the actual impedance the combining network must match under large-signal drive.
- Typically incorporates an impedance inverter or quarter-wave transformer
- Must account for the difference between Cold S22 (small-signal) and Hot S22 (large-signal)
- Mismatch leads to degraded efficiency and incomplete load modulation
Load-Pull Analysis
A systematic measurement technique where the impedance presented to a device under test is varied across the Smith chart to map contours of constant output power, efficiency, and linearity. Hot S22 is extracted during active load-pull measurements under nominal drive conditions.
- Reveals the optimum load impedance for maximum PAE
- Hot S22 contours differ significantly from small-signal S22
- Essential for designing the Doherty combiner's impedance trajectory
Load Modulation
The dynamic impedance transformation mechanism in a Doherty amplifier where the peaking amplifier's current injection actively varies the load impedance seen by the carrier amplifier. Hot S22 characterizes the carrier's large-signal output reflection coefficient during this modulation process.
- At low power: carrier sees high impedance for efficiency
- At peak power: carrier sees optimal load for maximum output
- Hot S22 varies dynamically with the instantaneous envelope power
Impedance Inverter
A two-port network, often realized as a quarter-wave transmission line, that transforms a load impedance to its inverse value. The design of this network depends critically on knowing Hot S22 rather than small-signal S22.
- Enables the active load-pull effect central to Doherty operation
- Impedance transformation ratio determined by Hot S22 measurements
- Incorrect design leads to suboptimal back-off efficiency
AM-PM Distortion
Amplitude-to-phase modulation distortion representing the nonlinear phase shift introduced by a power amplifier that varies as a function of the instantaneous input signal envelope magnitude. Hot S22 includes the phase information critical for understanding AM-PM behavior under drive.
- Phase variation of Hot S22 vs. power reveals AM-PM characteristics
- Affects the combiner's phase alignment requirements
- Must be compensated by digital predistortion for low EVM
Output Back-Off (OBO)
The operating point reduction in output power from the amplifier's saturated or peak power level, expressed in decibels. Hot S22 is measured at the specific OBO corresponding to the nominal drive conditions of the Doherty amplifier.
- Typical OBO: 6-9 dB for signals with high PAPR
- Hot S22 at the average power OBO determines combiner design
- Efficiency at OBO is the primary Doherty advantage

About the author
Prasad Kumkar
CEO & MD, Inference Systems
Prasad Kumkar is the CEO & MD of Inference Systems and writes about AI systems architecture, LLM infrastructure, model serving, evaluation, and production deployment. Over 5+ years, he has worked across computer vision models, L5 autonomous vehicle systems, and LLM research, with a focus on taking complex AI ideas into real-world engineering systems.
His work and writing cover AI systems, large language models, AI agents, multimodal systems, autonomous systems, inference optimization, RAG, evaluation, and production AI engineering.
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