Performance evaluation of a cascaded logic for track formation in clutter

The authors present a Markov-chain-based performance evaluation technique for a two-stage sliding-window cascaded logic (2/2×m /n) for track formation in a cluttered environment. The main features of this technique are that it avoids the need for extensive simulations and it is more realistic than previous methods in that it accounts for the variation of the association gate size. The gates are obtained from a Kalman filter and fully account for its transient following the two-point initiation from the first stage of the logic. The proposed technique can also be used to select logic parameters that meet system requirements such as, for example, the true track detection and false track acceptance probabilities