Manoeuvre detection and target tracking using state-space optimal FIR filters

Three hypothesized phases of manoeuvres are proposed to describe various behaviors of flying targets. The three phases consist of the zero phase, the bias phase and the transition phase, which represent intervals of nonmaneuver, a constant-bias manoeuvre and a random-walk manoeuvre, respectively. Using the corresponding target models for the three phases, a filter bank based on optimal FIR filters is developed to reduce the computation amount for real-time processing. A detection scheme employing two test variables is also developed in order to detect the phase of the manoeuvre and to select a filter from the filter bank. The proposed scheme is tested via computer simulations