INCREMENTAL MANEUVER ESTIMATION MODEL FOR TARGET TRACKING

Abstract

Target maneuver has long been a problem of tracking small targets with the Kalman filter. We describe an incremental model for maneuver detection and estimation for use in target tracking with the Kalman filter. The approach is similar to the multiple Kalman filter bank, but with a memory for the maneuver status for the track under consideration. The advantage of this approach is that the target acceleration can be more accurately estimated.