function varargout = kalman_gui(varargin)
% KALMAN_GUI M-file for kalman_gui.fig
% KALMAN_GUI, by itself, creates a new KALMAN_GUI or raises the existing
% singleton*.
%
% H = KALMAN_GUI returns the handle to a new KALMAN_GUI or the handle to
% the existing singleton*.
%
% KALMAN_GUI('CALLBACK',hObject,eventData,handles,...) calls the local
% function named CALLBACK in KALMAN_GUI.M with the given input arguments.
%
% KALMAN_GUI('Property','Value',...) creates a new KALMAN_GUI or raises the
% existing singleton*. Starting from the left, property value pairs are
% applied to the GUI before kalman_gui_OpeningFunction gets called. An
% unrecognized property name or invalid value makes property application
% stop. All inputs are passed to kalman_gui_OpeningFcn via varargin.
%
% *See GUI Options on GUIDE's Tools menu. Choose "GUI allows only one
% instance to run (singleton)".
%
% See also: GUIDE, GUIDATA, GUIHANDLES
% Edit the above text to modify the response to help kalman_gui
% Last Modified by GUIDE v2.5 17-Jun-2003 14:42:07
% Begin initialization code - DO NOT EDIT
gui_Singleton = 1;
gui_State = struct('gui_Name', mfilename, ...
'gui_Singleton', gui_Singleton, ...
'gui_OpeningFcn', @kalman_gui_OpeningFcn, ...
'gui_OutputFcn', @kalman_gui_OutputFcn, ...
'gui_LayoutFcn', [] , ...
'gui_Callback', []);
if nargin & isstr(varargin{1})
gui_State.gui_Callback = str2func(varargin{1});
end
if nargout
[varargout{1:nargout}] = gui_mainfcn(gui_State, varargin{:});
else
gui_mainfcn(gui_State, varargin{:});
end
% End initialization code - DO NOT EDIT
% --- Executes just before kalman_gui is made visible.
function kalman_gui_OpeningFcn(hObject, eventdata, handles, varargin)
% This function has no output args, see OutputFcn.
% hObject handle to figure
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
% varargin command line arguments to kalman_gui (see VARARGIN)
% Choose default command line output for kalman_gui
handles.output = hObject;
% Update handles structure
guidata(hObject, handles);
if strcmp(get(hObject,'Visible'),'off')
initialize_gui(hObject, handles);
end
% UIWAIT makes kalman_gui wait for user response (see UIRESUME)
% uiwait(handles.figure1);
% --- Outputs from this function are returned to the command line.
function varargout = kalman_gui_OutputFcn(hObject, eventdata, handles)
% varargout cell array for returning output args (see VARARGOUT);
% hObject handle to figure
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
% Get default command line output from handles structure
varargout{1} = handles.output;
function initialize_gui(fig_handle, handles)
data.start_loc = zeros(3,1);
data.velocity = 0.0 ;
data.yamp = 0.0 ;
data.yperiod = 0.0 ;
data.zamp = 0.0 ;
data.zperiod = 0.0 ;
data.samplingtime = 0.0 ;
data.deltat = 0.0 ;
data.sigmaaz = 0.0 ;
data.sigmael = 0.0 ;
data.sigmarange = 0.0 ;
data.x0 = zeros(6,1) ;
data.P0 = zeros(6,6) ;
data.phi = zeros(6,6) ;
data.R = zeros(3,3) ;
data.Q = zeros(6,6) ;
set(handles.xstart, 'String', data.start_loc(1));
set(handles.ystart, 'String', data.start_loc(2));
set(handles.zstart, 'String', data.start_loc(3));
set(handles.velocity, 'String', data.velocity);
set(handles.y_amp, 'String', data.yamp);
set(handles.y_period, 'String', data.yperiod);
set(handles.z_amp, 'String', data.zamp);
set(handles.z_period, 'String', data.zperiod);
set(handles.sampletime, 'String', data.samplingtime);
set(handles.deltat, 'String', data.deltat);
set(handles.sigmaaz, 'String', data.sigmaaz);
set(handles.sigmael, 'String', data.sigmael);
set(handles.sigmarange, 'String', data.sigmarange);
set(handles.x0_1, 'String', num2str(data.x0(1)));
set(handles.x0_2, 'String', num2str(data.x0(2)));
set(handles.x0_3, 'String', num2str(data.x0(3)));
set(handles.x0_4, 'String', num2str(data.x0(4)));
set(handles.x0_5, 'String', num2str(data.x0(5)));
set(handles.x0_6, 'String', num2str(data.x0(6)));
set(handles.P11, 'String', num2str(data.P0(1,1)) );
set(handles.P12, 'String', num2str(data.P0(1,2)) );
set(handles.P13, 'String', num2str(data.P0(1,3)) );
set(handles.P14, 'String', num2str(data.P0(1,4)) );
set(handles.P15, 'String', num2str(data.P0(1,5)) );
set(handles.P16, 'String', num2str(data.P0(1,6)) );
set(handles.P21, 'String', num2str(data.P0(2,1)) );
set(handles.P22, 'String', num2str(data.P0(2,2)) );
set(handles.P23, 'String', num2str(data.P0(2,3)) );
set(handles.P24, 'String', num2str(data.P0(2,4)) );
set(handles.P25, 'String', num2str(data.P0(2,5)) );
set(handles.P26, 'String', num2str(data.P0(2,6)) );
set(handles.P31, 'String', num2str(data.P0(3,1)) );
set(handles.P32, 'String', num2str(data.P0(3,2)) );
set(handles.P33, 'String', num2str(data.P0(3,3)) );
set(handles.P34, 'String', num2str(data.P0(3,4)) );
set(handles.P35, 'String', num2str(data.P0(3,5)) );
set(handles.P36, 'String', num2str(data.P0(3,6)) );
set(handles.P41, 'String', num2str(data.P0(4,1)) );
set(handles.P42, 'String', num2str(data.P0(4,2)) );
set(handles.P43, 'String', num2str(data.P0(4,3)) );
set(handles.P44, 'String', num2str(data.P0(4,4)) );
set(handles.P45, 'String', num2str(data.P0(4,5)) );
set(handles.P46, 'String', num2str(data.P0(4,6)) );
set(handles.P51, 'String', num2str(data.P0(5,1)) );
set(handles.P52, 'String', num2str(data.P0(5,2)) );
set(handles.P53, 'String', num2str(data.P0(5,3)) );
set(handles.P54, 'String', num2str(data.P0(5,4)) );
set(handles.P55, 'String', num2str(data.P0(5,5)) );
set(handles.P56, 'String', num2str(data.P0(5,6)) );
set(handles.P61, 'String', num2str(data.P0(6,1)) );
set(handles.P62, 'String', num2str(data.P0(6,2)) );
set(handles.P63, 'String', num2str(data.P0(6,3)) );
set(handles.P64, 'String', num2str(data.P0(6,4)) );
set(handles.P65, 'String', num2str(data.P0(6,5)) );
set(handles.P66, 'String', num2str(data.P0(6,6)) );
set(handles.R_11, 'String', num2str(data.R(1,1)) );
set(handles.R_12, 'String', num2str(data.R(1,2)) );
set(handles.R_13, 'String', num2str(data.R(1,3)) );
set(handles.R_21, 'String', num2str(data.R(2,1)) );
set(handles.R_22, 'String', num2str(data.R(2,2)) );
set(handles.R_23, 'String', num2str(data.R(2,3)) );
set(handles.R_31, 'String', num2str(data.R(3,1)) );
set(handles.R_32, 'String', num2str(data.R(3,2)) );
set(handles.R_33, 'String', num2str(data.R(3,3)) );
set(handles.Q11, 'String', num2str(data.Q(1,1)) );
set(handles.Q12, 'String', num2str(data.Q(1,2)) );
set(handles.Q13, 'String', num2str(data.Q(1,3)) );
set(handles.Q14, 'String', num2str(data.Q(1,4)) );
set(handles.Q15, 'String', num2str(data.Q(1,5)) );
set(handles.Q16, 'String', num2str(data.Q(1,6)) );
set(handles.Q21, 'String', num2str(data.Q(2,1)) );
set(handles.Q22, 'String', num2str(data.Q(2,2)) );
set(handles.Q23, 'String', num2str(data.Q(2,3)) );
set(handles.Q24, 'String', num2str(data.Q(2,4)) );
set(handles.Q25, 'String', num2str(data.Q(2,5)) );
set(handles.Q26, 'String', num2str(data.Q(2,6)) );
set(handles.Q31, 'String', num2str(data.Q(3,1)) );
set(handles.Q32, 'String', num2str(data.Q(3,2)) );
set(handles.Q33, 'String', num2str(data.Q(3,3)) );
set(handles.Q34, 'String', num2str(data.Q(3,4)) );
set(handles.Q35, 'String', num2str(data.Q(3,5)) );
set(handles.Q36, 'String', num2str(data.Q(3,6)) );
set(handles.Q41, 'String', num2str(data.Q(4,1)) );
set(handles.Q42, 'String', num2str(data.Q(4,2)) );
set(handles.Q43, 'String', num2str(data.Q(4,3)) );
set(handles.Q44, 'String', num2str(data.Q(4,4)) );
set(handles.Q45, 'String', num2str(data.Q(4,5)) );
set(handles.Q46, 'String', num2str(da
MATLAB Code.rar
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MATLAB Code.rar （197个子文件） 
kalman_gui.fig 213KB Capped_Wedge_GUI.fig 65KB clutter_rcs_gui.fig 51KB array.fig 35KB stretch_gui.fig 30KB myradar_visit2_2_gui.fig 29KB matched_filter_gui.fig 28KB linear_array_gui.fig 24KB LFM_gui.fig 14KB kalman_gui.m 122KB Capped_Wedge_GUI.m 39KB rcs_frequency_gui.m 33KB clutter_rcs_gui.m 21KB planar_array_gui.m 16KB array.m 15KB linear_array_gui.m 12KB myradar_visit2_2_gui.m 10KB stretch_gui.m 10KB matched_filter_gui.m 10KB Capped_WedgeTM.m 8KB rndcheck.m 8KB kalm.m 7KB circ_array.m 6KB polardb.m 5KB polardb.m 5KB rcs_frustum_gui.m 5KB rcs_ellipsoid_gui.m 5KB rect_array.m 5KB rcs_isosceles_gui.m 5KB wedgeTM.m 4KB rcs_aspect_gui.m 4KB circular_array.m 4KB rcs_cylinder_gui.m 4KB LFM_gui.m 4KB rcs_circ_plate_gui.m 4KB linear_array.m 3KB rcs_frustum.m 3KB kalfilt.m 3KB rcs_rect_plate_gui.m 3KB rcs_frustum1.m 3KB myradar_visit7.m 3KB hrr_profile.m 3KB rcs_rect_plate.m 3KB fig12_12-13.m 3KB fluct_loss.m 2KB myradar_visit6.m 2KB rcs_cylinder.m 2KB clutter_rcs.m 2KB fig1_12.m 2KB clutter_rcs.m 2KB casestudy1_1.m 2KB matched_filter.m 2KB ssj_req.m 2KB pd_swerling4.m 2KB maketraj.m 2KB example11_1.m 2KB fig1_16.m 2KB PolKal.m 2KB fig11_18a.m 2KB fig1_19.m 2KB DielCappedWedgeTMFields_Ls.m 2KB addnoise.m 2KB kalman_filter.m 2KB fig2_21.m 2KB range_red_factor.m 2KB fig1_27.m 1KB myradar_visit2_2.m 1KB wedgeTMfields.m 1KB rcs_isosceles.m 1KB rcs_sphere.m 1KB stretch.m 1KB DielCappedWedgeTMFields_PW.m 1KB rcs_aspect.m 1KB pd_swerling5.m 1KB prn_ambig.m 1KB Barker_ambig.m 1KB normrnd.m 1KB fig1_13.m 1KB soj_req.m 1KB fig3_8.m 1KB sphereRCS.m 1KB LFM.m 1KB snr_sp.m 1KB rcs_circ_plate.m 1KB rcs_frequency.m 1KB pd_swerling2.m 1KB rcs_cylinder_cmplx.m 1KB mismatch.m 1KB pd_swerling3.m 1KB rcs_ellipsoid.m 1KB fig5_14.m 1KB figs13.m 1KB fig1_28.m 1KB myradar_visit2_1.m 1KB incomplete_gamma.m 1KB cylinder.m 1KB fxdwght.m 1KB pd_swerling1.m 1009B fig2_6b.m 938B myradarvisit1_1.m 861B共 197 条
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