MATLAB Distributed Computing Server  Distributed Radar Tracking
Simulation  This example uses the Parallel Computing Toolbox™ to
perform a Monte Carlo simulation of a radar station that tracks
the path of an aircraft. The radar station uses the radar
equation to estimate the aircraft position. We introduce
measurement errors as a random variable, and the radar station
performs Kalman filtering to try to correct for them. To
estimate the effectiveness of the Kalman filter, we perform
repeated simulations, each time having the aircraft travel along
a randomly chosen path.  For details about the computations,
open the pctdemo_model_radar modelopen the pctdemo_model_radar
model.   Related examples:  Analyze the Sequential Problem
First, we look at how the computations in the sequential example
fit into the model introduced in the Dividing MATLAB
Computations into Tasks example. The main computations consist
of a large number of simulations, and each simulation takes only
a fraction of a second. We therefore have