The probabilistic evolution of random walk on the circle is studied, and the results are used to derive a maximum {em a posteriori} probability (MAP) sequence estimator for phase. The sequence estimator is a Viterbi tracker for tracking phase on a finite-dimensional grid in

. The algorithm is shown to provide a convenient method for obtaining fixed-lag phase estimates. Performance characteristics are presented and compared with several published nonlinear filtering algorithms.