Multi-platform maneuvering target tracking based on BLUE — AIMM — CI algorithm

With the battlefield environment becomes more complicated nowadays, it´s difficult to achieve high precision target tracking only using single platform of target tracking system. Especially for maneuvering targets, the application of interactive multiple model (IMM) algorithm based on a variety model becomes necessary and feasible. At the same time, the best linear unbiased estimate (BLUE) filter is much more appropriate and useful than Kalman filter when it comes to deal with nonlinear system. Most of the time, we are blind to the correlation degree of our target during the merge process of tracking. We can track our target with multi-platform with introduction of Cross-Correlation (CI) fusion algorithm which is based on distributed data and proves its effectiveness by simulation.