Radar and Wireless Coexistence

Dual function waveform, spectrum sharing, cooperative radar and communication, joint communication and sensing

This section contains applications of the toolbox to radar and wireless communications. Some application areas include:

Determine the optimal frequency region for radar waveform transmission in the presence of an Orthogonal Frequency-Division Multiplexing (OFDM) communications waveform based on Fast Spectrum Sensing.
Create and analyze a Pseudo-Random Optimized Frequency Modulation (PRO-FM) pulsed waveform with notches (areas of reduced spectrum power) in regions occupied by communications waveforms.
Design a set of waveforms for a dual-function multiple-input-multiple-output (MIMO) radar-communication (RadCom) system. Simulate a RadCom system that can detect targets in range and azimuth, as well as transmit data to multiple downlink users.

Featured Examples

Waveform Design for a Dual-Function MIMO RadCom System

Design a set of waveforms for a dual-function multiple-input-multiple-output (MIMO) radar-communication (RadCom) system.

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Spectrum Sharing Using Spectrum Sensing and Waveform Notching

Implement and analyze techniques for reducing mutual interference between non-cooperative radar and communication systems by inserting notches into the transmitted radar waveform.

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New

Synthesizing Gapped LFM Waveform with Spectral Mask Requirements

Synthesize a wideband gapped Linear Frequency Modulated (LFM) waveform with spectral mask requirements for operation in congested RF environments.

Since R2024b
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Joint Radar-Communication Using PMCW and OFDM Waveforms

Models a joint radar-communication system using two modulation schemes that combine radar and communication signals. One scheme uses phase-modulated continuous wave (PMCW) waveforms and orthogonal frequency division multiplexing (OFDM) waveforms .

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Spectrum Sensing with Deep Learning for Radar and Wireless Communications

Train a deep learning neural network using deep learning to identify radar and wireless communication signals in the air.

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New

Integrated Sensing and Communication I:Radar-Centric Approach Using PMCW Waveform

Model a radar-centric Integrated Sensing and Communication (ISAC) system based on a MIMO radar transmitting a PMCW waveform.

Since R2024b
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New

Integrated Sensing and Communication II: Communication-Centric Approach Using MIMO-OFDM

Model a communication-centric Integrated Sensing and Communication (ISAC) system based on a generic MIMO-OFDM communication system.

Since R2024b
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