Dai Jun, Wang Jianhai, Li Ying. APPLICATION OF ADAPTIVE INTERACTING MULTIPLE MODEL ALGORITHM FOR TRACKING A MANOEUVRING TARGET[J]. Journal of Electronics & Information Technology, 1998, 20(6): 733-738.
Citation:
Dai Jun, Wang Jianhai, Li Ying. APPLICATION OF ADAPTIVE INTERACTING MULTIPLE MODEL ALGORITHM FOR TRACKING A MANOEUVRING TARGET[J]. Journal of Electronics & Information Technology, 1998, 20(6): 733-738.
Dai Jun, Wang Jianhai, Li Ying. APPLICATION OF ADAPTIVE INTERACTING MULTIPLE MODEL ALGORITHM FOR TRACKING A MANOEUVRING TARGET[J]. Journal of Electronics & Information Technology, 1998, 20(6): 733-738.
Citation:
Dai Jun, Wang Jianhai, Li Ying. APPLICATION OF ADAPTIVE INTERACTING MULTIPLE MODEL ALGORITHM FOR TRACKING A MANOEUVRING TARGET[J]. Journal of Electronics & Information Technology, 1998, 20(6): 733-738.
The paper describes an Adaptive Interacting Multiple-model(AIMM) algorithm for use in manoeuvring target tracking. The algorithm does not need predefined models. A two-stage Kalman estimator is used to estimate the acceleration of the target. This acceleration value is then fed to the subfilters in an Interacting Multiple Model (IMM) algorithm where the subfilters have different acceleration parameters. The simulation results of the performance of the AIMM algorithm and that of the IMM algorithm are given.
[1J Blackman S S. Multiple-target Tracking With Radar Applications, Dedham: Artech House, Inc. 1986, Chapter 3.[2]Blom H A, Bar-shalom Y. The interacting multiple model algorithm for systems with Markovian switching coefficients. IEEE Trans. on AC, 1988, AC-33(8): 780-785.[3]Munir A, et al. Adaptive interacting multiple model algorithm for tracking a manoeuvring target. IEE Proc-F, 1995, 142(1): 11-16.[4]Atherton D P, H J Lin. Parallel implemention of IMM tracking algorithm using transputers. IEE Proc-F,1994, F-141(6): 325-332.[5]Kalata P R. The tracking index: A generalized parameter for - and - target trackers[J].IEEE Trans. on Aerosp. Electron. Syst.1984, AES-20(2):174-182
DownLoad: