📄 ekf_nmcda_update.m
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%EKF_NMCDA_PREDICT EKF/NMCDA Update step%% Syntax:% [S,EV_STRS] = ekf_nmcda_update(S,Y,t,H,R,h,V,CP,CD,% a_birth,l_birth,% a_death,l_death,param)%% In:% S - Struct array 1xNP of particles% Y - Dx1 measurement vector% t - Time stamp of the measurement% H - Derivative of h() with respect to state as matrix,% inline function or name of function in% form H(x,param).% R - Measurement noise covariance.% h - Mean measurement prediction as vector,% inline function or name of function in% form h(x,param). (optional, for default see EKF_UPDATE)% V - Derivative of h() with respect to noise as matrix,% inline function or name of function in% form V(x,param). (optional, for default see EKF_UPDATE)% CP - Prior probability of a measurement being due% to clutter. (optional, default zero)% CD - Probability density of clutter measurements,% which could be for example 1/V, where V is% the volume of clutter measurement space. (optional, default 0.01)% pb - Prior probability of birth (optional, default 0.01)% alpha - Parameter alpha for the gamma% distribution model for time to death (optional, default 1)% beta - Parameter beta for the gamma% distribution model for time to death (optional, default 10)% param - Parameters of H, h and V. See, for instance, ekf_predict1 or ekf_update1% for more details.%% Out:% S - Predicted struct array of particles% EV_STRS - Comment strings of happened events%% Description:% Perform update step of Rao-Blackwellized Monte Carlo% Data Association Algorithm with Number of Targets estimation.%% See also:% EKF_NMCDA_INIT, EKF_NMCDA_PREDICT, EKF_UPDATE% History:% 11.02.2008 Added support for the new particle structure% 24.08.2004 Changed birth/death model to that of article% 09.12.2003 The first official version.%% Copyright (C) 2003 Simo S鋜kk
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