  In this paper, we study the asymptotic behavior of the quadratic variation
for the class of AR(1) processes driven by white noise in the second Wiener
chaos. Using tools from the analysis on Wiener space, we give an upper bound
for the total-variation speed of convergence to the normal law, which we apply
to study the estimation of the model's mean-reversion. Simulations are
performed to illustrate the theoretical results.
