Phased Array System Toolbox

Design and simulate sensor array and beamforming systems

Phased Array System Toolbox™ provides algorithms and apps for designing and simulating sensor array and beamforming systems in wireless communication, radar, sonar, acoustic, and medical imaging applications. You can model and analyze the behavior of active and passive arrays, including subarrays and arbitrary geometries. Simulated signals can be transmitted and received by these arrays for beamforming and signal processing algorithm design.

For 5G and LTE cellular, SATCOM, and WLAN communications systems, you can design multibeam and electronically steerable antennas. The toolbox includes algorithms for simulating hybrid and full digital beamforming architectures for massive MIMO and millimeter wave systems. You can simulate multipath fading environments to test the performance of beamforming antenna arrays.

For radar, sonar, and acoustic system design, the toolbox includes signal processing algorithms for beamforming, space-time adaptive processing (STAP), direction of arrival (DOA) estimation, matched filtering, and signal detection. The toolbox also provides continuous and pulsed waveforms that you can use to generate test signals and simulate target echoes, interferences, and propagation effects.

For simulation acceleration or desktop prototyping, the toolbox supports C code generation. Reference examples provide workflows for generating HDL code from Simulink® models.

Get Started:

Phased Array Design

Model and analyze the behavior of active or passive electronically scanned arrays (AESA or PESA) with arbitrary geometries.

Phased Array Design and Analysis

Model and analyze phased arrays, including the array geometry, element spacing, custom antenna elements, phased shift quantization, mutual coupling, and perturbed elements.

Sensor Array Analyzer app for interactive array design.

Subarray Modeling

Model subarrays commonly used in modern phased array systems.

Phased array antenna built with subarrays.

Polarization Modeling

Transmit, propagate, reflect, and receive polarized electromagnetic fields.

Modeling and analyzing polarization.

Beamforming and DOA Estimation

Model narrowband and broadband digital beamforming algorithms. Suppress interferences and avoid self-nulling with adaptive beamformers. Use STAP techniques to remove clutter and jammer. Estimate DOA of incident signals.

Narrowband and Broadband Beamforming

Model narrowband and wideband digital beamforming algorithms using spectral-based and covariance-based techniques.

Beamforming for a phased array system.

Space-Time Adaptive Processing

Combine STAP with temporal and spatial filtering to nullify interfering jammers. Use STAP to detect slow-moving or stationary targets in background clutter.

Space-time adaptive processing.

Direction of Arrival Estimation

Use DOA estimation to localize the direction of a radiating or reflecting source. DOA algorithms include beamscan, MVDR, MUSIC, 2D MUSIC, root-MUSIC, and monopulse trackers for moving objects.

DOA estimation with MVDR.

Detection, Range, and Doppler Estimation 

Perform matched filtering, stretch processing, pulse compression, pulse integration, range and Doppler estimation, and CFAR detection.

Pulse Compression and Target Detection

Generate target detections using Constant False Alarm Rate (CFAR), 2D CFAR, and matched filters. Generate ROC curves and explore requirements using the radar equation and sonar equation.

Constant false alarm rate detection.

Range and Doppler Estimation

Estimate range and generate range-Doppler and range-angle responses.

Range-Doppler response from a radar data cube.

Waveform Design and Signal Synthesis

Design pulsed waveforms, continuous waveforms, and matched filters. Analyze waveform ambiguity functions. Synthesize transmitted signals and target returns for monostatic and bistatic arrays.

Pulse and Continuous Waveforms, Matched Filters, and Ambiguity Functions

Design pulsed and continuous waveforms and corresponding matched filters. Generate baseband IQ data for simulation and modeling.

Waveform analysis using the ambiguity function.

Signal Propagation and Targets

Model targets with RCS patterns based on azimuth, elevation, and frequency. Define sensor and target trajectories. Model multipath MIMO channels with scatterers and environmental conditions, including rain, gas, and fog.

Visualizing beam scanning on a map.

Application Examples

Simulate MIMO communications, radar, EW, sonar, and spatial audio systems.

Hybrid beamforming for MIMO communications.

Underwater propagation paths between transmitter and receiver using a Bellhop model.

Algorithm Acceleration and Code Generation

Speed up simulations and applications with generated C/C++, or with the dataflow domain in Simulink®. Follow reference workflows to generate HDL code from Simulink models.

Dataflow to Accelerate Simulation

Use the dataflow domain to reduce simulation times with parallel processing threads.

Dataflow acceleration.