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% gene_2d_sen1.m % % generate the measurements for a 2-D scenario of two closely spaced targets with % sensor 1 function measurement = gene_2d_sen1(target) % define SNR SNRdb = 10; SNR = 10^

% plot_3d_pda1.m % % Kalman filter with 3-D PDA using LP for tracking multiple targets with possibly unresolved measurements, % assuming the resolvability indicator is known. % See also: gene_

% function assi = find_assi_index(assign, n) % % assign ----- assignment vector indicating which measurement goes to which track % assign(j) = k means the j-th measurement goes to tr

function fig = plot_scn(target, measurement) numScans = length(target(1).time); % plot the ground truth and the measurements fig = figure; hold on; ny = length(target); for j=1:ny p0 =

%/upf_demos/ukf_hfun.m function [y] = ukf_hfun(x,u,n,t); % PURPOSE : Measurement model function fpr UKF. % INPUTS : - x: Hidden state % : - u: control vector % - n: Measur

function units=l_gu(wlog,mnem) % Get units of measurement of curve with mnemonic "mnem" from log data set "wlog" % If S4M.case_sensitive is set to false, the case of the curve mnemonic is disregarded.

% Jacobian of the measurement model function for the UNGM-model. % % Copyright (C) 2007 Jouni Hartikainen % % This software is distributed under the GNU General Public % Licence (version 2 or later);

%TF_SMOOTH Two filter based Smoother % % Syntax: % [M,P] = TF_SMOOTH(M,P,Y,A,Q,H,R,[use_inf]) % % In: % M - NxK matrix of K mean estimates from Kalman filter % P - NxNxK matrix of K state covar

%__________________________________________________________________________ % Type: : File Header % File name : initConfig % File Description : Holds the data

/* ================================================================================== File name: F2407ILG.H Originator: Digital Control Systems Grou