Loss of lock on background regions or target-like objects (clutter) is a major problem for imaging target trackers. Although gated trackers naturally resist clutter interference until the threat is within the track gate, they do not typically predict the impending perturbation. Also, classical trackers exercise a drastic response to the eventual detection of clutter within the track gate--they coast, totally ignoring current position measurements while propagating an old target rate. If the target accelerates during coast, loss of lock is very likely. We present an algorithm for detecting and tracking clutter objects in the tracked scene and modifying the loop gains in the primary target tracker. This method rejects breaklock due to clutter interference while remaining responsive to target maneuvers.