Implementing the noisy AR(1) Process
Yes, the method you have used generates an AR-(1) random process by inputting Gaussian white noise of unit variance into the LTI filter defined by the coefficeints $a$ and $b$. 

Then you are adding some uncorrelated noise to it, which means your random process is not anymore a pure AR-(1) but a noisy one.