Phased Array System Toolbox0 pages

Phased Array System Toolbox
Design and simulate phased array signal processing systems
Phased Array System Toolbox™ provides algorithms and tools for the design, simulation, and analysis of phased
array signal processing systems. These capabilities are provided as MATLAB® functions and MATLAB System
objects™. The system toolbox includes algorithms for waveform generation, beamforming, direction of arrival
estimation, target detection, and space-time adaptive processing.
The system toolbox lets you build monostatic, bistatic, and multistatic architectures for a variety of array
geometries. You can model these architectures on stationary or moving platforms. Array analysis and
visualization apps help you evaluate spatial, spectral, and temporal performance. The system toolbox lets you
model an end-to-end phased array system or use individual algorithms to process acquired data.
Key Features
▪ Monostatic and multistatic radar system modeling, including point targets, free-space propagation, surface
clutter, and barrage jammer
▪ Modeling of sensor arrays and subarrays with arbitrary geometries
▪ Polarization and platform motion specification for arrays and targets
▪ Synthesis and analysis of continuous and pulsed waveforms
▪ Broadband and narrowband digital beamforming, including MVDR/Capon, LCMV, time delay, Frost, and
subband phase shift
▪ Direction of arrival algorithms, including monopulse, beamscan, MVDR, root MUSIC, and ESPRIT
▪ Algorithms for TVG, pulse compression, coherent and noncoherent integration, CFAR processing, plotting
ROC curves, and estimating range and Doppler
▪ Space-time adaptive processing (STAP), including sample matrix inversion (SMI), and angle-Doppler
response visualization
The system toolbox includes examples that provide a starting point for implementing user-defined phased array
systems.
Phased Array Design and Analysis
Phased Array System Toolbox enables you to model and analyze the behavior of common array geometries and
user-defined array geometries. Common array geometries include:
▪ Uniform linear array (ULA)
▪ Uniform rectangular array (URA)
▪ Conformal array
You can define your own array geometry by specifying the number of elements, the element spacing, and each
element’s position and orientation in 3D space. The individual element response and radiation pattern can be
isotropic, cosine shaded, or specified by your own 3D pattern. Your response and radiation pattern can be either
described by an ideal analytic function or defined from measured data. You can apply shading (tapering) across
the entire array.
You can also define multiple element patterns in an array to model an inhomogeneous array.

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