www.gusucode.com > distcomp 案例源码程序 matlab代码 > distcomp/pctdemo_setup_radar.m
function [fig, numSims, finishTime] = pctdemo_setup_radar(difficulty) %PCTDEMO_SETUP_RADAR Perform the initialization for the Parallel Computing %Toolbox Radar Tracking examples. % [fig, numSims, finishTime] = pctdemo_setup_radar(difficulty) returns the % number of simulations that should be performed and the number of time points % that should be in each simulation. % Copyright 2007-2012 The MathWorks, Inc. % Example details % % The Parallel Computing Toolbox example Radar Tracking Simulation shows how % a particular Simulink model, pctdemo_model_radar, can be run in batch % mode. In order to view the model, run % % pctdemo_model_radar % % on the Matlab command line. fig = pDemoFigure(); clf(fig); set(fig, 'Name', 'Radar Tracking Simulation'); set(fig, 'Visible', 'on'); figure(fig); numSims = 800; finishTime = 100; % The difficulty of the computations is directly proportional to numSims. % Therefore, we modify numSims by scaling it by the example difficulty level. minSims = 10; numSims = max(minSims, round(numSims*difficulty)); % Get a few aircraft paths and the corresponding location estimation error. numPaths = 10; [r, x, y] = pctdemo_task_radar(numPaths, finishTime); % Show the different paths that the aircraft can take. ax = subplot(2,1,1, 'parent', fig); plot(ax, x, y); title(ax, 'Sample aircraft paths'); axis(ax, 'off'); % Show the estimation error. ax = subplot(2,1,2, 'parent', fig); plot(ax, r); hold(ax, 'on'); % Also show where the error is zero. plot(ax, zeros(1, finishTime)); hold(ax, 'off'); axis(ax, 'tight') axis(ax, 'off') title(ax, 'The corresponding location estimation errors as a function of time'); drawnow; end % End of pctdemo_setup_radar.