Title:
HalfAdaptiveInteractiveMultipleModelTrackingAlgori
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Description: When using interactive multiple model (IMM) to track targets,to select smallermodel set to better cover the move-
ment property and the maneuvering level of various targets and meanwhile to reduce computation complexity are both worthwhile and
also necessary research tasks to project implementation.The main work is done through the IMM algorithm of curvilinear model,the
construction of angle velocity estimation model and the extension of it to state equations,whichmake it possible for normal acceleration
to be self-adaptively adjusted,hence it reduces the model setto associate onlywithMcurvilinearmodels selatingtotangential acceler-
ation.Computation burden is reduced and algorithm’s applying range is extended.The simulation further proves the conclusion
To Search:
- [cxsb] - through poor background, target acquisit
- [kaermanmubiaogenzong] - two-dimensional space under target for u
- [imm] - This program is matlab written imm (inte
- [run_tracker.m] - A multi-target tracking toolbox based on
- [IMM] - For maneuvering target tracking interact
- [Location_Tracking] - Single sensor on the target' s locati
- [IMM] - Interacting multiple model Kalman filter
- [ekf_1_3_ukf_1_3] - The methods that are discussed in the cu
- [IMM_csdn] - Vehicle location tracking, interacting m
File list (Check if you may need any files):
HalfAdaptiveInteractiveMultipleModelTrackingAlgorithm.caj
