Designing ISAC Systems with Phased Arrays

Explore how phased arrays enable integrated sensing and communication (ISAC) systems to communicate with and localize users by using shared spectrum, waveforms, and hardware. This communication-centric ISAC workflow in MATLAB® models a MIMO-OFDM link with a phased-array transmitter and receiver in a multipath environment. Channel estimates derived from OFDM pilot signals are used to compute precoding and combining weights, establish the communications link, and evaluate performance using bit error rate and a constellation diagram. The same channel estimates are then collected over time for sensing. The workflow suppresses static clutter, estimates range from the OFDM waveform, and estimates direction of arrival with the phased array. Combining these measurements produces a position heatmap that localizes three moving users in the modeled environment. Topics covered: Integrated sensing and communication Phased arrays MIMO-OFDM Multipath channels Channel estimation Precoding and combining Bit error rate Radar data cubes Static clutter suppression Range estimation Direction-of-arrival estimation User localization Related resources: Explore radar and wireless coexistence: https://bit.ly/3SQ14Lc    • 6G ISAC Implementation with MATLAB and USRP      • Integrated Sensing and Comms (ISAC) with M...   -------------------------------------------------------------------------------------------------------- Get a free product trial: https://goo.gl/ZHFb5u Learn more about MATLAB: https://goo.gl/8QV7ZZ Learn more about Simulink: https://goo.gl/nqnbLe See what's new in MATLAB and Simulink: https://goo.gl/pgGtod © 2026 The MathWorks, Inc. MATLAB and Simulink are registered trademarks of The MathWorks, Inc. See www.mathworks.com/trademarks for a list of additional trademarks. Other product or brand names may be trademarks or registered trademarks of their respective holders.