Applications

Radar and wireless communication systems such as 5G, LTE, DVB, ZigBee, FMCW

Simulate pulsed and FMCW radar systems for surveillance and automotive applications. Model the complete physical layer of wireless communications systems such as 5G, LTE, DVB, ZigBee, including multiple antennas (MIMO) using a combination of RF Blockset libraries and other MATLAB^® or Simulink^® product libraries.

Topics

RF System and Transceiver Design

RF System Design for Radar and Wireless Communications
Design an RF system for radar and wireless communication systems.
RF Transceiver Design
Design an RF transmitter and receiver.

LTE RF Transmitter and Receiver Design

Modeling and Testing an LTE RF Transmitter (LTE Toolbox)
This example shows how to characterize the impact of radio frequency (RF) impairments, such as in-phase and quadrature (IQ) imbalance, phase noise, and power amplifier (PA) nonlinearities, on the performance of an LTE transmitter.
Modeling and Testing an LTE RF Receiver (LTE Toolbox)
This example demonstrates how to model and test an LTE RF receiver using LTE Toolbox™ and RF Blockset™.

802.11ax RF Transmitter Design

Modeling and Testing an 802.11ax RF Transmitter (WLAN Toolbox)
This example shows how to characterize the impact of RF impairments in an 802.11ax transmitter.
Modeling and Testing an 802.11ax RF Receiver with 5G Interference (WLAN Toolbox)
Characterize the impact of RF impairments on the RF reception of an IEEE^® 802.11ax™ waveform coexisting with an adjacent 5G or 802.11ax interferer.

NR RF Receiver and Transmitter Design

Modeling and Testing an NR RF Receiver with LTE Interference (5G Toolbox)
Characterize the impact of RF impairments of NR-TM waveforms when coexisting with LTE waveforms.
Modeling and Testing an NR RF Transmitter (5G Toolbox)
Characterize the impact of RF impairments, such as IQ imbalance, phase noise, and PA nonlinearities in an NR RF transmitter.
Power Amplifier and DPD Modeling for Dynamic EVM Measurement
Extract a PA model using measured data, verify the quality of the fitting, and simulate the PA model with and without DPD.

Related Information

Three Steps to Simulate RF Transceivers in MATLAB

Featured Examples

Massive MIMO Hybrid Beamforming with RF Impairments

Employ hybrid beamforming at the transmit end of a massive MIMO communication system.

Open Script

Modeling RF mmWave Transmitter with Hybrid Beamforming

Model and simulate a 66 GHz QPSK RF transmit and receive system with a 32-element hybrid beamforming antenna.

Open Script

Modeling and Simulation of MIMO RF Receiver Including Beamforming

Model a MIMO RF receiver with a baseband beamforming algorithm.

Open Script

Wireless Digital Video Broadcasting with RF Beamforming

Model a digital video broadcasting system which includes a 16 antenna phased array receiver operating at 28 GHz.

Open Script

RF Receiver Modeling for LTE Reception

Model and test an LTE RF receiver.

Open Script

Modeling RF Front End in Radar System Simulation

In a radar system, the RF front end often plays an important role in defining the system performance. For example, because the RF front end is the first section in the receiver chain, the design of its low noise amplifier is critical to achieving the desired signal to noise ratio (SNR). This example shows how to incorporate RF front end behavior into an existing radar system design.

(Phased Array System Toolbox)

Radar System Modeling

Set up a radar system simulation consisting of a transmitter, a channel with a target, and a receiver.

Open Script

Impact of Thermal Noise on Communication System Performance

Model thermal noise in a super-heterodyne RF receiver and measure its effects on a communications system noise figure and bit error rate.

Open Model