Phased Array System Toolbox™ provides algorithms and apps for the design, simulation, and analysis of sensor array systems in radar, wireless communications, sonar, and medical imaging applications. You can design end-to-end phased array systems and analyze their performance under different scenarios using synthetic or acquired data. Toolbox apps let you explore the characteristics of sensor arrays and waveforms and perform link budget analysis. In-product examples provide a starting point for implementing a full range of custom phased array systems.
For radar and sonar system design, the toolbox lets you model the dynamics of ground-based, airborne, ship-borne, or submarine multifunction systems with moving targets and platforms. It includes pulsed and continuous waveforms and signal processing algorithms for beamforming, matched filtering, direction of arrival (DOA) estimation, and target detection. The toolbox also includes models for transmitters and receivers, propagation channels, targets, jammers, and clutter.
For 5G, LTE, and WLAN wireless communications system design, the toolbox enables you to incorporate antenna arrays and beamforming algorithms into system-level simulation models. It includes capabilities for designing and analyzing array geometries and subarray configurations, and provides array processing algorithms for beamforming and DOA estimation.
Toolbox algorithms are available as MATLAB® System objects and Simulink® blocks.
Learn the basics of Phased Array System Toolbox
Antennas and microphones, array geometries, polarization, transmitters, and receivers
Pulsed and continuous waveforms, staggered waveforms, variable PRF, matched filtering, ambiguity function, spectrogram
Delay-and-sum, MVDR, LCMV, beamscan, ESPRIT, MUSIC, DPCA, SMI, generalized cross-correlation
Target detection, CFAR, range and Doppler estimation, ROC curves, radar equation, sonar equation
Channel propagation, radar cross section, sonar target strength, underwater sound channels, Swerling targets, clutter, jammers, object motion
Speed up simulations and applications with generated C/C++ and MEX code, or by using GPUs