This paper addresses the problem of identification of almost periodic time-varying moving average （APTVMA） systems using cyclic statistics. The nomal equation approches based on odd order time-varying cumulants are presentedfor parameters estimation. Model order detemination procedures based on time-varying and cyclic cumulants are also derived.Simulations are performed to illustrate performance of the presented methods.