ET-Induced AM/PM Distortion is a nonlinear effect where the phase shift introduced by a power amplifier (PA) becomes a function of its instantaneous drain voltage. Unlike fixed-supply operation, the dynamic modulation of the supply voltage in an envelope tracking (ET) system causes the PA's input capacitance and transistor transconductance to vary, directly converting amplitude variations into unintended phase deviations on the output RF carrier.
Glossary
ET-Induced AM/PM Distortion

What is ET-Induced AM/PM Distortion?
ET-Induced AM/PM Distortion is the unwanted phase modulation of the output RF signal caused by the dynamic variation of the power amplifier's supply voltage in an envelope tracking system.
This distortion is distinct from classic AM/PM conversion because it is supply-dependent and must be characterized across the full two-dimensional space of input power and drain voltage. A dual-input behavioral model or an augmented Volterra series is required to capture this effect, and the digital predistorter must apply a phase correction that is indexed by both the instantaneous signal envelope and the instantaneous supply voltage to achieve linearization.
Key Characteristics of ET-Induced AM/PM
Envelope tracking introduces a unique phase modulation artifact where the dynamic supply voltage alters the power amplifier's phase response. Understanding these characteristics is essential for designing effective digital predistortion correction algorithms.
Supply-Dependent Phase Shift
The fundamental mechanism where the PA's insertion phase varies as a function of the instantaneous drain voltage. As the supply modulator adjusts Vdd to track the envelope, the transistor's parasitic capacitances—particularly Cgd and Cds—change nonlinearly, causing a voltage-dependent phase rotation of the RF output. This creates a direct mapping between the envelope signal amplitude and the output phase error, requiring the DPD to apply a complex gain correction that varies with both input power and supply voltage.
AM-AM to AM-PM Cross-Coupling
In ET systems, amplitude and phase distortions are not independent. The dynamic supply modulation creates a cross-coupled nonlinearity where:
- Changes in drain voltage simultaneously affect gain (AM-AM) and phase (AM-PM)
- The shaping function that maps envelope to supply voltage directly influences the phase trajectory
- Aggressive efficiency optimization often exacerbates AM-PM by pushing the PA into regions of rapid phase variation This coupling demands joint AM-AM/AM-PM correction rather than independent compensation paths.
Memory Effects in Phase Distortion
ET-induced AM-PM exhibits significant memory effects beyond static nonlinearity. Short-term memory arises from the supply modulator's finite bandwidth and slew rate, causing the actual Vdd to lag behind the ideal envelope. Long-term thermal memory occurs because dynamic supply changes alter instantaneous power dissipation, creating temperature-dependent phase shifts that persist across multiple symbol periods. These effects require DPD models with memory depth—typically 3-5 taps for short-term and dedicated thermal state tracking for long-term compensation.
Shaping Function Impact on Phase Linearity
The iso-gain contour-based shaping function directly determines the severity of AM-PM distortion. Key relationships include:
- Deep tracking (aggressive Vdd modulation) maximizes efficiency but traverses regions of steep phase gradient
- Iso-gain shaping minimizes AM-AM variation but may still produce significant AM-PM if the constant-gain contours have inherent phase curvature
- Phase-aware shaping adds a constraint to avoid operating points with rapid phase variation, trading some efficiency for improved linearity The shaping function is effectively a phase distortion control parameter.
Bandwidth-Dependent Phase Distortion
As signal bandwidth increases, ET-induced AM-PM becomes more severe due to:
- Envelope-bandwidth mismatch: The supply modulator cannot track the fastest envelope variations, creating phase errors at high envelope frequencies
- Slew-rate limitations: The modulator's finite dV/dt causes the actual Vdd to deviate from the ideal, introducing dynamic phase errors that correlate with envelope derivative
- Frequency dispersion: The PA's phase response to supply variation is itself frequency-dependent, creating a 2D memory effect across both modulation frequency and RF carrier frequency Wideband 5G NR signals (100+ MHz) are particularly susceptible.
Measurement and Characterization
Characterizing ET-induced AM-PM requires specialized measurement techniques:
- Dual-input vector network analysis captures S21 phase vs. both input power and supply voltage
- Dynamic AM-PM extraction uses modulated test signals with synchronized Vdd and RF envelope capture
- 3D phase surfaces plot output phase as a function of instantaneous |Vin| and Vdd, revealing the full nonlinear memoryless behavior
- Residual phase error after static correction quantifies the memory component requiring dynamic DPD These measurements feed directly into augmented Volterra or neural network model training.
Enabling Efficiency, Speed & Accuracy
Intelligent Analysis, Decision & Execution
We build AI systems for teams that need search across company data, workflow automation across tools, or AI features inside products and internal software.
Talk to Us
Search across company data
Give teams answers from docs, tickets, runbooks, and product data with sources and permissions.
Useful when people spend too long searching or get different answers from different systems.

Automate internal workflows
Use AI to route work, draft outputs, trigger actions, and keep approvals and logs in place.
Useful when repetitive work moves across multiple tools and teams.

Add AI to products and internal tools
Build assistants, guided actions, or decision support into the software your team or customers already use.
Useful when AI needs to be part of the product, not a separate tool.
Frequently Asked Questions
Clear, technical answers to the most common questions about the phase distortion mechanisms arising from dynamic supply modulation in envelope tracking systems.
ET-induced AM/PM distortion is the unwanted phase modulation of the RF output signal caused by the dynamic variation of the power amplifier's supply voltage in an envelope tracking system. It occurs because the active device's parasitic capacitances—primarily the gate-drain capacitance (Cgd) and drain-source capacitance (Cds)—are nonlinear and voltage-dependent. As the supply modulator varies the drain voltage Vdd(t) to track the RF envelope, these capacitances change, altering the phase shift through the transistor. This creates a supply-dependent phase shift that modulates the RF carrier's phase in sync with the envelope amplitude, degrading Error Vector Magnitude (EVM) and spectral mask compliance. Unlike fixed-supply AM/PM, this distortion is a function of two variables: instantaneous input power and instantaneous drain voltage.
Related Terms
Understanding ET-induced AM/PM distortion requires familiarity with the core mechanisms of envelope tracking, behavioral modeling, and linearization. The following concepts form the foundation for characterizing and correcting this critical nonlinear effect.
Supply-Dependent Gain Compression
The nonlinear variation in a PA's gain as a function of its instantaneous drain voltage. As the supply modulator reduces the drain voltage to save power during low-envelope periods, the transistor operates closer to its knee region, causing both gain compression (AM-AM) and a significant phase shift (AM-PM). Characterizing this supply-dependent complex gain is the first step in building an ET-aware DPD model.
Dual-Input Behavioral Model
A modeling framework that treats the PA as a system with two independent inputs: the RF input signal and the dynamic supply voltage. Unlike single-input models, this structure can natively capture the interaction between the RF envelope and the supply modulation that produces ET-specific AM/PM distortion. Common implementations include augmented Volterra series and dual-input memory polynomials.
ET Delay Alignment
The precise time-synchronization between the RF signal path and the envelope tracking supply voltage path at the transistor's drain. A timing mismatch as small as a fraction of a nanosecond can cause the supply voltage to be misaligned with the RF envelope, producing severe transient phase distortion that appears as a dramatic increase in AM/PM conversion. This is often the dominant source of residual distortion in ET systems.
Shaping Function
A deterministic mapping function, often implemented as a look-up table (LUT), that translates the instantaneous baseband signal magnitude into a target supply voltage. The shaping function directly determines the PA's operating trajectory across its characteristic plane. A poorly designed shaping function can push the PA into regions of extreme phase nonlinearity, exacerbating AM/PM distortion and making linearization more difficult.
ET-DPD Joint Model
A unified behavioral model that simultaneously captures the nonlinear dynamics of both the power amplifier and the supply modulator. Since the modulator itself introduces nonlinearities—such as slew-rate limiting and switching ripple—that corrupt the intended supply waveform, a joint model is essential for accurately predicting and inverting the complete chain of AM/PM distortion sources in a single predistorter.

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.
Partnered with leading AI, data, and software stack.
How We Work
Custom AI workflows for your Business
One-fit-all AI don't work for modern businesses. At Inferensys, we aim to understand your business & custom requirements; which we use to define most efficient agentic workflows, the data, and the tools for your business.
01
Review the use case
We understand the task, the users, and where AI can actually help.
Read more02
Pick the right approach
We define what needs search, automation, or product integration.
Read more03
Build the first useful version
We implement the part that proves the value first.
Read more04
Improve from there
We add the checks and visibility needed to keep it useful.
Read moreThe first call is a practical review of your use case and the right next step.
Talk to Us