Circuit Envelope Fundamentals

Envelope signal representation, Circuit Envelope library, and simulation

To learn about envelope signal representation, see Circuit Envelope Basics.

To learn how to build an RF system using the circuit envelope library, see Getting Started with RF Modeling.

Blocks

expand all

Continuous WaveModel constant envelope source
NoiseModel noise using current or voltage noise source in RF systems
SinusoidModel DC offset and sinusoidal modulation
ConfigurationDefine system simulation settings
InportConvert Simulink input signal to RF Blockset signal
OutportConvert RF Blockset signal to Simulink output signals
Connection PortConnection port for RF subsystem
GroundSimulate connection to electrical ground
Spectrum AnalyzerDisplay frequency spectrum of time-domain signals

Examples and How To

Simulate High Frequency Components

Example showing circuit envelope simulation techniques.

Model an RF Mixer

Expose various workflows for modeling RF systems using an RF mixer example.

Concepts

Circuit Envelope Basics

Introduction, assumptions, advantages, definition, and work flow of Circuit Envelope simulation.

Circuit Envelope Library

Learn about Circuit Envelope library environment.

Featured Examples

Getting Started with RF Modeling

Getting Started with RF Modeling

Learn how to use the RF Budget Analyzer app to build a simple RF receiver, and then create an RF Blockset™ Circuit Envelope multi-carrier model to perform simulation.

Open Script
Passband Signal Representation in Circuit Envelope

Passband Signal Representation in Circuit Envelope

The relationship between two signal representations in RF Blockset™ Circuit Envelope: complex baseband (envelope) signal and passband (time domain) signal. The step size of a RF Blockset solver is usually much larger than the period of the carrier, so upsampling is necessary to construct a reasonable passband signal.

Open Script
Power Ports and Signal Power Measurement in RF Blockset

Power Ports and Signal Power Measurement in RF Blockset

Use power ports and measure the signal power using the spectrum analyzer.

Open Script
Automatic Sample-Time Interpolation at Input Port

Automatic Sample-Time Interpolation at Input Port

Manage models consisting of both digital communication and RF systems that process signals at different sampling rates. To perform a model simulation where the Nyquist sampling rate of the digital communication signal is less than the inverse of the RF section time step an interpolation filter will be employed. The use of this interpolation filter diminishes the introduction of artificial signal artifacts at the boundaries of the communication and RF systems resulting from the sampling rate differences.

Open Script
Communications System with Embedded RF Receiver

Communications System with Embedded RF Receiver

Integrate an RF receiver together with baseband signal processing algorithms to model an end-to-end communications system.

Open Script

RF Blockset Documentation

Support