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function S = dosim(T, cda, cdm, cm, sr_scale, sq_scale, stq_C, stq_F, stq_S) % % Run sim of level sensors % % Input: % T: truth struct with fields... % L: actual levels struct w/ fields % L.C (c

%UKF_NMCDA_PREDICT UKF/NMCDA Update step % % Syntax: % [S,EV_STRS] = ukf_nmcda_update(S,Y,t,h,R,CP,CD,pb,alpha,beta,param) % % In: % S - Struct array 1xNP of particles % Y - Dx1 measurement v

% qrupa.m % Scope: This MATLAB macro implements the updating algorithm [1] for Q-R % factorization of the modified measurement matrix when a new %

%EKF_UPDATE2 2nd order Extended Kalman Filter update step % % Syntax: % [M,P,K,MU,S,LH] = EKF_UPDATE2(M,P,Y,H,H_xx,R,[h,V,param]) % % In: % M - Nx1 mean state estimate after prediction step %

%EKF_UPDATE1 1st order Extended Kalman Filter update step % % Syntax: % [M,P,K,MU,S,LH] = EKF_UPDATE1(M,P,Y,H,R,[h,V,param]) % % In: % M - Nx1 mean state estimate after prediction step % P -

% Measurement model function for the random sine signal demo % Copyright (C) 2007 Jouni Hartikainen % % This software is distributed under the GNU General Public % Licence (version 2 or later); plea

% Jacobian of the measurement model function in reentry demo. % % Copyright (C) 2005-2006 Simo S鋜kk

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

% SD_unresolved_demo.m % % demo version for N dimensional assignment with possibly unresolved measurements for % tracking multiple targets using multiple sensors disp('----------------------------

function [y] = bshfun(x,u,t); % PURPOSE : Measurement model function. % INPUTS : - x: The evaluation point in the domain. % OUTPUTS : - y: The value of the function at x. % AUTHORS : Nando de Fre