Communications Toolbox™ provides algorithms and apps for the design, end-to-end simulation, analysis, and verification of communications systems. The toolbox includes a graphically-based app that lets you generate custom- or standard-based waveforms. You can create test vectors to verify receiver performance or to create datasets for artificial intelligence (AI) applications by adding RF impairments to waveforms. The toolbox lets you model propagation channels statistically or with ray-tracing solutions that include terrain and buildings. You can compensate for the effects of channel degradations and use SDRs to verify your designs with over-the-air (OTA) testing.
Communications Toolbox facilitates modeling communications links from antenna to RF chain to bit processing (with Antenna Toolbox™ and RF Blockset™). You can accelerate BER simulations using the cloud or your local cluster (with Parallel Computing Toolbox™). The toolbox helps you solve communications problems using AI techniques (with Deep Learning Toolbox™).
Learn the basics of Communications Toolbox
Physical layer features including waveform generation, source coding, error control coding, modulation, MIMO, space-time coding, filtering, equalization, and synchronization
Behavioral RF radio modeling and impairment correction
Site and terrain visualization, propagation model specification (including Longley-Rice), signal strength, signal coverage maps, and static and fading channel models
Link-level communications systems simulation and analysis examples
DLL, MAC sublayer, LLC sublayer, and multinode communications
System models compliant with various standards
Waveform generation, file IO formats, visualization, and performance analysis
Use machine learning, deep learning, and reinforcement learning in wireless communications systems
Generate standalone applications for desktop computers and embedded targets
Support for third-party software-defined radio hardware, such as Xilinx®, RTL-SDR, ADALM-PLUTO, and USRP™ radios