Calculate the mean square error in a localization process

I'm estimating the position of an agent. I know the x,y coordinates of both the estimated position and the real position.

I would like to compute the MSE with a function like this one https://www.mathworks.com/help/images/ref/immse.html

Is there a way?

Answer 1

[Ameer Hamza]

If you have deep learning toolbox, then you can use the mse() function: https://www.mathworks.com/help/releases/R2020a/deeplearning/ref/dlarray.mse.html

estimated = [x_estimated y_estimated]; % x_predicted and y_predicted are column vectors
real = [x_real y_real]; % x and y are column vectors

mse_value = mse(estimated, real)

If you don't have the toolbox, then you can write your own function

function mse_value = mse(estimated, real)
    mse_value = mean((estimated-real).^2, 'all');
end