A recursive tracking algorithm is presented which uses the strength of target returns to improve track formation performance and track maintenance through target maneuvers in a cluttered environment. This technique combines the interacting multiple model (IMM) approach with a generalized probabilistic data association (PDA), which uses the measured return amplitude in conjunction with probabilistic models for the target and clutter returns. Key tracking decisions can be made automatically by assessing the probabilities of target models to provide rapid and accurate decisions for both true track acceptance and false track dismissal in track formation. It also provides the ability to accurately continue tracking through coordinated turn target maneuvers.<>
Interacting multiple model tracking with target amplitude feature
IEEE Transactions on Aerospace and Electronic Systems ; 29 , 2 ; 494-509
01.04.1993
1259804 byte
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
Interacting Multiple Model Tracking with Target Amplitude Feature
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