noise calculation in the gps-simulator
6 vues (au cours des 30 derniers jours)
Afficher commentaires plus anciens
Hi,
I am trying to understand the principle of gps sensor simulator in Matlab. According to the documentation, the horizontal position accuracy specifies the standard deviation of the noise in the horizontal position measurement and the vertical position accuracy specifies the standard deviation of the noise in the vertical position measurement. From my understanding, the measurement noise matrix be
. Where I assumed that the the standard deviation in x and y directions are the same.
But after reading the source code of matlab implementation, I am wondering where comes from the factor 2. The relevant source code is shown in the below.
dt = 1 ./ obj.SampleRate;
% in case of white noise process the decayfactor is 0.
decayFactor = obj.DecayFactor;
% tau = dt for white noise process
tau = dt / (1-decayFactor);
horzSigma = obj.HorizontalPositionAccuracy;
vertSigma = obj.VerticalPositionAccuracy;
sigmas = [horzSigma horzSigma vertSigma];
% updated standard deviation
% it equals to obj.pSigmaScaled = sigmas .* sqrt(2);
obj.pSigmaScaled = sigmas .* sqrt(2.*dt./tau);
obj.pPositionErrorFilterNum = 1;
obj.pPositionErrorFilterDen = [1 -decayFactor];
According to the implementation, the measurement noise is:
.
I don't know where I got it wrong. Is there someone could help me about it?
Thanks for any help and hints in advance.
Best regards
0 commentaires
Réponses (2)
Ryan Salvo
le 23 Juin 2023
Hi Siyu,
For the noise calculation, the standard deviation is scaled by a bandwidth equal to 1/2 of the sampling rate. That results in the multiplication of the standard deviation by 2*dt.
Thanks,
Ryan
0 commentaires
Siyu
le 26 Juin 2023
1 commentaire
Ryan Salvo
le 26 Juin 2023
Hi Siyu,
We use the generic sensor noise model detailed in the TSim manual to model this random noise in the GPS sensor. See the Derivation of Modified Rate Random Walk Noise Model section for the complete details.
Thanks,
Ryan
Voir également
Catégories
En savoir plus sur Automated Driving Toolbox dans Help Center et File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!