Load-pull analysis is a systematic measurement technique where the impedance presented to a device under test (DUT) is varied across the Smith chart to map contours of constant output power, efficiency, and linearity. By mechanically or electronically tuning the load reflection coefficient, engineers identify the optimal impedance for a specific performance metric, such as maximum power-added efficiency (PAE) or minimum adjacent channel leakage ratio (ACLR).
Glossary
Load-Pull Analysis

What is Load-Pull Analysis?
A systematic measurement technique for characterizing device performance under varying impedance conditions.
This method is critical for designing Doherty power amplifiers, where the active load modulation between the carrier and peaking amplifiers requires precise knowledge of optimal impedances at both peak power and back-off. Source-pull, a complementary technique, varies the source impedance to optimize gain and noise figure, while active load-pull systems extend the measurement range beyond the limits of passive tuners to characterize high-reflection devices.
Key Characteristics of Load-Pull Analysis
Load-pull analysis is the foundational measurement methodology for characterizing power amplifier performance under varying impedance conditions. By systematically sweeping the load reflection coefficient across the Smith chart, engineers map contours of constant output power, efficiency, and linearity to identify optimal matching targets for Doherty amplifier design.
Fundamental Load-Pull Principle
Load-pull systematically varies the impedance presented to the device under test (DUT) at the fundamental frequency by controlling a tuner's reflection coefficient magnitude and phase. At each impedance point, the DUT's output power, gain, efficiency, and linearity are measured. The resulting data is plotted as contours on a Smith chart, revealing the impedance regions that maximize specific performance metrics. This technique directly accounts for the large-signal nonlinear behavior of transistors, which cannot be predicted from small-signal S-parameters alone.
Active vs. Passive Load-Pull
Two distinct architectures exist for synthesizing load impedances:
- Passive load-pull uses a mechanical or electronic tuner to reflect a portion of the incident wave, limited to reflection coefficients within the tuner's loss circle (typically |Γ| < 0.9).
- Active load-pull injects a coherent signal into the DUT output through a directional coupler, enabling synthesis of arbitrary impedances including |Γ| = 1 (pure reactance) and even negative resistance regions.
- Hybrid load-pull combines both techniques, using passive tuning for coarse impedance setting and active injection to overcome fixture losses at high frequencies.
Harmonic Load-Pull
Extending load-pull beyond the fundamental frequency, harmonic load-pull independently controls impedances at the 2nd and 3rd harmonic frequencies (2f₀ and 3f₀). This enables characterization of waveform engineering techniques where harmonic terminations shape the transistor's intrinsic voltage and current waveforms. Proper harmonic tuning can achieve Class-F, inverse Class-F, or Class-J operation, significantly boosting power-added efficiency. Modern systems use multi-harmonic active tuners to present independent, calibrated impedances at f₀, 2f₀, and 3f₀ simultaneously.
Source-Pull Analysis
The complementary technique to load-pull, source-pull varies the impedance presented at the input of the DUT. This is critical for optimizing gain, noise figure, and input match under large-signal drive conditions. In power amplifier design, source-pull identifies the impedance that maximizes transducer gain while maintaining stability. Combined source-load-pull sweeps both input and output impedances simultaneously, mapping the full two-port large-signal operating space to identify the global optimum for a given performance trade-off.
Load-Pull for Doherty Design
Load-pull is indispensable for Doherty amplifier development:
- Carrier amplifier characterization at the design back-off power level identifies the high-efficiency impedance region where the carrier operates before peaking activation.
- Peaking amplifier characterization at peak power determines the optimal load for maximum saturated output.
- Active load-pull emulation simulates the dynamic impedance modulation that occurs as the peaking amplifier injects current, validating the Doherty combiner design before physical prototyping.
- Modulated load-pull uses wideband signals (e.g., 100 MHz 5G NR) to assess linearity and memory effects under realistic dynamic impedance conditions.
Vector-Receiver Load-Pull
Modern load-pull systems employ vector receivers that capture both magnitude and phase of incident and reflected waves at the DUT reference plane. This enables:
- Waveform measurements of time-domain voltage and current at the transistor's current generator plane.
- Real-time load-pull where impedance is swept continuously while capturing full vector data, dramatically reducing measurement time.
- Polyharmonic distortion modeling by extracting the complex relationships between fundamental and harmonic components.
- AM-AM and AM-PM extraction at each impedance point, building comprehensive nonlinear behavioral models for digital predistortion development.
Frequently Asked Questions
Load-pull analysis is the foundational measurement methodology for characterizing and optimizing power amplifier performance under realistic, large-signal operating conditions. The following questions address the core concepts, measurement techniques, and practical applications that RF engineers encounter when using load-pull to design high-efficiency Doherty amplifiers.
Load-pull analysis is a systematic large-signal measurement technique where the impedance presented to the output of a device under test (DUT)—typically a power transistor or amplifier—is actively varied across the Smith chart while simultaneously measuring output power, efficiency, gain, and linearity. The process works by using an automated impedance tuner, which is essentially a precision variable transmission line or slug-based mechanical system, to synthesize a known reflection coefficient (ΓL) at the DUT's output reference plane. At each impedance state, the system records the DUT's performance, building a dataset that is then interpolated to generate contour maps on the Smith chart. These contours visually represent loci of constant output power, constant power-added efficiency (PAE), constant gain, and constant adjacent channel leakage ratio (ACLR). The technique is essential because a transistor's optimum impedance for maximum power (Zopt,P) almost never coincides with its optimum impedance for maximum efficiency (Zopt,η), and small-signal S-parameters are entirely inadequate for predicting large-signal behavior under compression.
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Related Terms
Core measurement and modeling concepts essential for interpreting load-pull data and designing high-efficiency Doherty power amplifiers.
Smith Chart
A graphical tool for solving transmission line and impedance matching problems. In load-pull analysis, the Smith chart is the universal coordinate system for plotting constant-power contours, constant-efficiency contours, and impedance trajectories. It maps all possible complex reflection coefficients (Γ) to a normalized impedance plane, allowing designers to visualize the optimal impedance region for trade-offs between PAE, output power, and linearity.
Constant Power Contours
Closed-loop loci on the Smith chart representing the set of load impedances that deliver a specific output power level from the device under test. These contours are generated by systematically varying the load impedance using a vector network analyzer and an automated tuner. The innermost contour typically represents the maximum saturated power, while outer contours show power back-off levels. Designers use these to select impedances that balance power delivery with efficiency.
Constant PAE Contours
Loci of load impedances that yield a constant Power-Added Efficiency value. These contours rarely align perfectly with maximum power contours, creating the fundamental linearity-efficiency trade-off. Load-pull analysis reveals the impedance region where PAE peaks, which is often at a different reflection coefficient than the maximum power point. For Doherty designs, these contours guide the selection of the optimal back-off impedance for the carrier amplifier.
Source-Pull Analysis
The complementary technique to load-pull where the source impedance presented to the device input is varied while measuring output performance. Source-pull maps the optimal input matching condition for maximum gain, minimum noise figure, or best linearity. In power amplifier design, source-pull is critical for determining the conjugate match that maximizes transducer gain while ensuring stability across the operating bandwidth.
Active Load-Pull
An advanced load-pull technique that uses an active signal injection path to synthesize reflection coefficients with magnitudes approaching unity (|Γ| ≈ 1). Unlike passive mechanical tuners limited by fixture losses, active load-pull can present impedances near the edge of the Smith chart, essential for characterizing high-power transistors with very low knee voltage. This method enables precise mapping of the voltage and current waveforms for harmonic tuning.
Hot S-Parameters
Large-signal scattering parameters measured under nominal drive and bias conditions, as opposed to small-signal Cold S-parameters measured with the device unbiased. Hot S22, the large-signal output reflection coefficient, is critical for designing the Doherty combiner network. Using cold S-parameters for matching network design leads to significant errors because the device's output impedance changes dramatically under large-signal excitation due to nonlinear capacitances and current clipping.

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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