Track fusion by optimal reduced state estimation in multi-sensor environment with limited-bandwidth communication path

摘要: The invention, called “ORSE Track Fusion”, combines sensor tracks from dispersed sites, when limited communication bandwidth does not permit sharing of individual measurements. Since estimation errors due to maneuver biases are independent for each sensor, optimal fusion produced by Kalman filters requires transmission all the filter gain matrices used update track prior time. For this reason, art has resorted suboptimal designs. ORSE Fusion according aspects invention overcomes disadvantage propagating, transmitting, and fusing separately calculated covariance random bias errors. Furthermore, with ORSE, can have its own criteria in forming track, be performed different at processing site. Thus, unique flexibility optimize simultaneously multiple serve users.