Data association and target identification using range profile

Jae-Chern Yoo, Young-Soo Kim
2004 Signal Processing  
We present a new data association algorithm using range-proÿle, which has maneuver-following capability. In this approach, targets can be identiÿed as a by-product of the data association, not requiring a separate step for target identiÿcation. Early data association cannot identify targets and thus requires a large amount of computation not to miss tracks when targets maneuver and cross each other. Our method using range proÿle mitigates the complexity of data association. And once the classes
more » ... of tracks are identiÿed, the tracks can be more e ciently tracked and associated even when target maneuvers. Furthermore, our approach can provide the optimum tracking ÿlter gain for tracking maneuvering target and thus will contribute to the improvement of performance for maneuvering target tracking. Extensive computer simulations have demonstrated that the new data association is not only more e cient in terms of the computational complexity without requiring a separate step for target identiÿcation, but also can provide the optimum tracking ÿlter gain for tracking maneuvering target. ?
doi:10.1016/j.sigpro.2003.11.020 fatcat:nxcobs3dhnarnkq5hzldpcg6jm