observationLikelihood.m
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上传日期:2018-05-24
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- function [ w ] = observationLikelihood( x, observation )
- % ------------------------------------------------------------------------------------------------------
- % function [ w ] = observationLikelihood( x, observation )
- %
- % J.L. Blanco - University of Malaga, Spain
- % ------------------------------------------------------------------------------------------------------
- % ------------------------------------------------------------------------------------------------------
- % Copyright (c) 2007 Jose Luis Blanco Claraco.
- %
- % Permission is hereby granted, free of charge, to any person obtaining a copy of
- % this software and associated documentation files (the "Software"), to deal in
- % the Software without restriction, including without limitation the rights to
- % use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies
- % of the Software, and to permit persons to whom the Software is furnished to do
- % so, subject to the following conditions:
- %
- % The above copyright notice and this permission notice shall be included in all
- % copies or substantial portions of the Software.
- %
- % THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
- % IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
- % FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
- % AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
- % LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
- % OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
- % SOFTWARE.
- % ------------------------------------------------------------------------------------------------------
- global sensorNoiseStd;
- M = size(x,1);
- N = size(x,2);
- N0 = N - 3; % The first index of the last "triplet"
- errsSq = sum( ( [x(:,N0+1)-observation(1) x(:,N0+2)-observation(2) ] ).^2, 2 );
- w = exp(-0.5 * errsSq / (sensorNoiseStd.^2) );