About the Specifics of the IMM Algorithm Design

Simeonova, Iliyana; Semerdjiev, Tzvetan

doi:10.1007/3-540-36487-0_37

Cited by 2 publications

(2 citation statements)

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“…The main principle is to use exact or approximate maneuver model set, while increasing the number of the models will increase the computation loads, but does not guarantee better performance [7]. Therefore for the above three different simulated trajectories, we choose different IMM configurations in order to show the best performance of the IMM estimator.…”

Section: ) Selection Of Model Setmentioning

confidence: 98%

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IMM Estimator for Maneuvering Target Tracking in GSM Networks

Zhang

Knedlik

Loffeld

2007

2007 4th Workshop on Positioning, Navigation and Communication

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Global System for Mobile Communications (GSM) networks can provide position information. For the application of tracking ground target, the target should be regarded as maneuvering target since the state to be estimated may change dramatically due to the restriction of terrain, road, traffic, and so on. It is well known that Multiple Model (MM) estimation is a powerful approach for such a hybrid estimation problem. In this paper, we consider this target motion uncertainty problem in GSM environment. Interacting MM (IMM) estimator is analyzed and the estimation results of three different simulated scenarios are evaluated by the corresponding posterior Cramér-Rao lower bound (PCRB) and compared with single model method of using one nearly constant velocity (CV) model. The comparisons show that IMM estimator reduce the estimation errors during the nonmaneuvering period.

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Section: ) Selection Of Model Setmentioning

confidence: 98%

“…There are three main steps for designing an IMM estimator: selection of model set, selection of process noise for each model and selection of the Markov chain transition probabilities [2], [7].…”

Section: B Design Of Imm Estimatormentioning

confidence: 99%