Large deviation principle for partial sum processes of moving averages

The logarithmic asymptotic is studied for large deviation probabilities of partial sum processes based on stationary observations having a structure of the so-called moving averages of a sequence of independent identically distributed random variables. The problem is studied in the case of attraction of these processes to a fractional Brownian motion with an arbitrary Hurst parameter.