Phased Array System Toolbox

MAJOR UPDATE

 

Phased Array System Toolbox

Design and simulate phased array and beamforming systems

Sensor Array Analyzer app showing the array parameters and geometry, directivity pattern in two and three dimensions, and array characteristics.

Phased Array Design and Analysis

Model and analyze the behavior of active or passive electronically scanned arrays (AESA or PESA), including the array geometry, subarrays, custom antenna elements, polarization, and perturbed elements.

A three-dimensional radiation pattern shaded to show normalized power.

Beamforming and DOA Estimation

Model narrowband and broadband digital beamforming algorithms. Suppress interferences with adaptive beamformers. Use STAP techniques to remove clutter. Estimate DOA of incident signals. Simulate nearfield beamforming with spherical wavefronts.

Plot of the ambiguity function heatmap in linear scale for an LFM waveform with delay in time on the horizontal axis and doppler frequency on the vertical axis.

Waveform Design and Signal Synthesis

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

MIMO Wireless Communications

Model multibeam and electronically steerable antennas for wireless and satellite communication systems. Partition beamforming architectures into baseband and RF subsystems.

Two-dimensional range response of radar data showing two peaks visible above the detection threshold.

Radar and EW Systems

­Simulate end-to-end radar systems. Process parameters of returned signals with DOA and time of arrival (TOA) estimates to improve localization of targets.

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

Sonar and Spatial Audio

Model sonar systems from source to receiver including the effects of target reflection, multipath propagation, and noise interference. Simulate beamforming for spatial audio systems.

A plot showing radar data over time, the detection threshold calculated with a CFAR algorithm, and generated radar detections (circled).

Detection, Range, and Doppler Estimation

Perform matched filtering, stretch processing, pulse compression, pulse integration, range and Doppler estimation, and constant false alarm rate (CFAR) detection.

A diagram illustrating data from three different sources being processed by different algorithms on different CPUs in parallel.

Algorithm Acceleration and Code Generation

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

Diagram showing three satellites labeled “known position” each grouped with a device also labeled “known position” and a ship labeled “target with unknown position.”

Localization and Positioning

­Estimate the locations of targets and devices with a combination of time of arrival (TOA), time difference of arrival (TDOA), time sum of arrival (TSOA), and angle of arrival (AOA) techniques for wireless networks as well as monostatic and multistatic radar systems.

“Hybrid beamforming system design for 5G massive MIMO arrays using MATLAB, Phased Array System Toolbox, and 5G Toolbox helped us in evaluating various hardware options as well as their performance in realistic 5G scenarios.”

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