Title :
Design and comparison of mode-set adaptive IMM algorithms for maneuvering target tracking
Author :
Jilkov, Vesselin P.
Author_Institution :
Central Lab. for Parallel Process., Bulgarian Acad. of Sci., Sofia
fDate :
1/1/1999 12:00:00 AM
Abstract :
The variable-structure multiple model (MM) state estimation approach is utilized for maneuvering aircraft (MA) radar tracking. Two adaptive time-varying mode-set interacting multiple model (IMM) tracking filters are designed and investigated: switching grid (SG) IMM and adaptive grid (AG) IMM algorithms, By Monte Carlo simulations the performances of the algorithms and the respective fixed grid (FG) IMM filter are evaluated and compared over different flight scenarios. It is shown that for the considered specific maneuvering target tracking problem, the SGIMM and AGIMM tracking filters significantly outperform the corresponding fixed structure version (the FGIMM filter) with respect to performance-to-computational load ratio
Keywords :
Monte Carlo methods; adaptive estimation; adaptive filters; directed graphs; radar tracking; state estimation; target tracking; time-varying filters; tracking filters; Monte Carlo simulations; adaptive grid IMM algorithms; algorithm performance; digraph switching; fixed grid IMM filter; interacting multiple model; maneuvering aircraft radar tracking; maneuvering target tracking; mode-set adaptive IMM algorithms; performance-to-computational load ratio; state estimation approach; stochastic hybrid system; switching grid IMM algorithms; time-varying IMM tracking filters; variable-structure multiple model; Algorithm design and analysis; Filters; Noise measurement; Performance evaluation; Radar applications; Radar theory; Radar tracking; State estimation; Target tracking; Time measurement;
Journal_Title :
Aerospace and Electronic Systems, IEEE Transactions on
