Algorithm Acceleration
Speed up radar simulations with parallel processing that can also be implemented on a graphical processing unit (GPU). Parallelizing a simulation is particularly useful when there is a scanning radar. Further improve processing speed by implementing simulations on GPUs.
Featured Examples
Parallel Simulation of Target, Clutter, and Interference Signals
Simulate clutter and interference using bistaticTransmitter and
bistaticReceiver to model both halves of a monostatic radar and
speeds up the simulation using parallel processing.
Simulating Radar Datacubes in Parallel
Simulate datacubes from an S-band terminal airport surveillance radar serially and in parallel and assess performance.
Accelerating Radar Signal Processing Using GPU
Compare the performance of a conventional radar signal processing chain implemented in interpreted MATLAB and on a graphical processing unit (GPU).
Acceleration of Clutter Simulation Using GPU and Code Generation
Simulate clutter on a graphical processing unit (GPU) or through code generation (MEX).
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