Space-Time Adaptive Processing
DPCA and ADPCA pulse cancellation, sample matrix inversion (SMI) beamforming
Signals received by a phased array are often overwhelmed by interference or background clutter. Clutter is called reverberation in acoustic applications. Phased Array System Toolbox™ algorithms perform space-time adaptive processing (STAP). STAP processing combines temporal and spatial filtering to nullify interfering jammers. You can use STAP processing to detect slow-moving or stationary targets in background clutter.
|Sample matrix inversion (SMI) beamformer|
|Displaced phase center array (DPCA) pulse canceller|
|Adaptive DPCA (ADPCA) pulse canceller|
|SMI Beamformer||Sample matrix inversion (SMI) beamformer|
|DPCA Canceller||Displaced phase center array (DPCA) pulse canceller for a uniform linear array|
|ADPCA Canceller||Adaptive displaced phase center array (ADPCA) pulse canceller for a uniform linear array|
|Angle Doppler Response||Angle-Doppler response|
|Data Cube Slicer||Slice data cube along specified dimensions|
|Doppler steering vector|
|Uniform grid index|
- Angle-Doppler Response
Create angle-Doppler response maps to detect objects.
- Displaced Phase Center Antenna Pulse Canceller
Use displaced phase center antenna (DPCA) pulse cancellation to improve detection in the presence of clutter.
- Adaptive Displaced Phase Center Antenna Pulse Canceller
Use adaptive displaced phase center antenna (ADPCA) pulse cancellation to improve detection in the presence of clutter and interference.
- Sample Matrix Inversion Beamformer
Use Sample Matrix Inversion (SMI) beamformer to optimally suppress clutter and jammer interference.
- Radar Data Cube
This section introduces the data cube for radar signal processing.
- Units of Measure and Physical Constants
Phased Array System Toolbox uses the International System of Units (SI).
- Standards and Conventions
This section introduces the concept of baseband signals and defines the local and global coordinate systems used in the toolbox.