Design and comparison of mode-set adaptive IMM algorithms for maneuvering target tracking

Jilkov, Vesselin P.; Angelova, Donka; Semerdjiev, Tzvetan

doi:10.1109/7.745704

Cited by 77 publications

(48 citation statements)

References 8 publications

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“…To address this problem, newer variants of IMM trackers have been created which use an adaptive rather than a fixed set of models. Two examples of these methods are the AGIMM (Jilkov, Angelova and Semerdjiev 1999) and VS-AIMM (Semerdjiev, Mihaylova and Li 2000) algorithms, both of which replace the fixed, discrete set of models with a small set of models whose parameters are continuously adapted to the maneuvers of the target.…”

Section: Multiple Model Algorithmsmentioning

confidence: 99%

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A non-Bayesian segmenting tracker for highly maneuvering targets

Linder

Schell

2005

IEEE Trans. Aerosp. Electron. Syst.

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The Segmenting Track Identifier (STI) is introduced as a new methodology to tracking highly maneuvering targets. This non-Bayesian approach dynamically partitions a target track into a sequence of track segments, making hard estimates of when the target's maneuvering mode transitions occur, and then estimates the parameters of the target model for each segment. STI is compared to two VS IMM algorithms through simulations, where it is shown to have a three fold performance advantage in median absolute turn rate estimation errors, as well as better position estimation for very highly maneuvering targets. STI performance is also shown to increase substantially if small delays in output can be tolerated.

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Section: Multiple Model Algorithmsmentioning

confidence: 99%

“…The Adaptive Grid IMM (AGIMM) tracker initially formulated by (Jilkov, Angelova and Semerdjiev 1999) …”

Section: Agimmmentioning

confidence: 99%

A non-Bayesian segmenting tracker for highly maneuvering targets

Linder

Schell

2005

IEEE Trans. Aerosp. Electron. Syst.

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“…In particular, tracking a maneuvering target using multiple models can provide better performance than using a single model (Li and BarShalom, 1993;Jilkov et al, 1999;Bar-Shalom et al, 2001). …”

Section: Introductionmentioning

confidence: 99%

Federated Information Mode-Matched Filter in an Imm Algorithm

Kim

Hong

2005

IFAC Proceedings Volumes

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“…Zhang et al [2] study the HGV's Sanger trajectory [3] (without lateral maneuver) tracking using interacting multiple model (IMM) [4] algorithm based on constant acceleration (CA) model, constant turning (CT) [5] model and Singer model. Qin et al [6] study the near space target tracking with adaptive grid interacting multiple model (AGIMM) [7] algorithm and the target trajectory is a simple combination of constant-velocity motion, constant-turning motion and constant-acceleration motion. Furthermore, the AGIMM with three different CT models is used to track the near space target, which is just called near space target but does not consist of any character of HGV.…”

Section: Introductionmentioning

confidence: 99%

A Cost-Effective Tracking Algorithm for Hypersonic Glide Vehicle Maneuver Based on Modified Aerodynamic Model

2016

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Abstract:In order to defend the hypersonic glide vehicle (HGV), a cost-effective single-model tracking algorithm using Cubature Kalman filter (CKF) is proposed in this paper based on modified aerodynamic model (MAM) as process equation and radar measurement model as measurement equation. In the existing aerodynamic model, the two control variables attack angle and bank angle cannot be measured by the existing radar equipment and their control laws cannot be known by defenders. To establish the process equation, the MAM for HGV tracking is proposed by using additive white noise to model the rates of change of the two control variables. For the ease of comparison several multiple model algorithms based on CKF are presented, including interacting multiple model (IMM) algorithm, adaptive grid interacting multiple model (AGIMM) algorithm and hybrid grid multiple model (HGMM) algorithm. The performances of these algorithms are compared and analyzed according to the simulation results. The simulation results indicate that the proposed tracking algorithm based on modified aerodynamic model has the best tracking performance with the best accuracy and least computational cost among all tracking algorithms in this paper. The proposed algorithm is cost-effective for HGV tracking.

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Design and comparison of mode-set adaptive IMM algorithms for maneuvering target tracking

Cited by 77 publications

References 8 publications

A non-Bayesian segmenting tracker for highly maneuvering targets

A non-Bayesian segmenting tracker for highly maneuvering targets

Federated Information Mode-Matched Filter in an Imm Algorithm

A Cost-Effective Tracking Algorithm for Hypersonic Glide Vehicle Maneuver Based on Modified Aerodynamic Model

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