Compensating for temporal drift of fixed-pattern noise is an important problem in the techniques for nonuniformity correction of infrared focal plane arrays. Kalman-filtering algorithm, statistical algorithm and algebraic algorithm were examined here. The mechanism for solving temporal drift of the fixed-pattern noise was analyed, and these algorithms performance were comprehensively evaluated. Our conclusions are verified by the simulation data.