Abstract: Signals from a balanced processor are sampled at a constant rate, integra and then divided by the number of samples. Two averages are obtained: a positive half cycle average and a negative half cycle average. Over a long period, clutter contributions tend to cancel. Target dominance is thus enhanced by integrating over half cycles rather than full cycles. A single cycle bias finder adds half cycle averages to obtain a cycle bias. The single cycle bias is fed to the moving average integrator where it is integrated over an optimum number of cycles. Obtaining the moving average reduces the chance that a single cycle bias can cause the average to exceed the threshold while a radially moving target will be detected.