We consider the least square estimator for the parameters of Ornstein-Uhlenbeck processes
dYs=(k∑j=1μjϕj(s)−βYs)ds+dZq,Hs,
driven by the Hermite process
Zq,Hs with order
q≥1 and a Hurst index
H∈(12,1), where the periodic functions
ϕj(s),j=1,…,k are bounded, and the real numbers
μj,j=1,…,k together with
β>0 are unknown parameters. We establish the consistency of a least squares estimation and obtain the asymptotic behavior for the estimator. We also introduce alternative estimators, which can be looked upon as an application of the least squares estimator. In terms of the fractional Ornstein-Uhlenbeck processes with periodic mean, our work can be regarded as its non-Gaussian extension.