www.gusucode.com > distcomp 案例源码程序 matlab代码 > distcomp/pctdemo_plot_radar.m
function pctdemo_plot_radar(fig, residual) %PCTDEMO_PLOT_RADAR Create the graphs for the Parallel Computing Toolbox %Radar Tracking examples. % pctdemo_plot_radar(fig, residual) graphs the standard deviation of the % location estimation error. % Copyright 2007 The MathWorks, Inc. if ~ishandle(fig) % The user closed the figure. return; end clf(fig); set(fig, 'Visible', 'on'); figure(fig); ax = axes('parent', fig); % We graph the standard deviation of the range estimate error as % a function of the Measurement Number. % On the graph, notice that the standard deviation increases as a function % of time. This indicates clearly that our Kalman filter is suboptimal. stddev = std(residual, 0, 2); plot(ax, stddev); xlabel(ax, 'Time'); ylabel(ax, 'Standard deviation of error in feet'); title(ax, 'Standard deviation of location estimate error'); axis(ax, 'tight'); end % End of pctdemo_plot_radar.