Group Targets Tracking Using Multiple Models GGIW-CPHD Based on Best-Fitting Gaussian Approximation and Strong Tracking Filter

Wang, Yun; Hu, Guoping; Zhou, Hao

doi:10.1155/2016/7294907

Cited by 3 publications

(2 citation statements)

References 18 publications

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“…Group splitting and combination are modeled in [18], where an approach named GGIW-PHD is proposed, with the assumption that the measurement rate of the target follows Gamma distribution. The cardinality PHD (CPHD) approach is introduced to group target tracking in [19,20], which could estimate the cardinality of the group target, thereby improving the performance of the approach. PHD filter and CPHD filter avoid data combination in multitarget tracking and improve the computation efficiency of the Bayes multitarget filter vastly, but could not explicitly accommodate the estimation of the target trajectory.…”

Section: Introductionmentioning

confidence: 99%

Tracking Split Group with δ-Generalized Labeled Multi-Bernoulli Filter

Linhai

Wang

2019

Journal of Sensors

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As target splitting is not considered in the initial development of δ-generalized labeled multi-Bernoulli (δ-GLMB) filter, the scenarios where the new targets appearing conditioned on the preexisting one are not readily addressed by this filter. In view of this, we model the group target as gamma Gaussian inverse Wishart (GGIW) distribution and derive a δ-GLMB filter based on the group splitting model, in which the target splitting event is investigated. Two simplifications of the approach are presented to improve the computing efficiency, where with splitting detection, we need not to predict the splitting events of all the GGIW components in every iteration. With component combination applied in adaptive birth, a redundant modeling for a newborn target or preexisting target could be avoided. Moreover, a method for labeling performance evaluation of the algorithm is provided. Simulations demonstrate the effectiveness of the proposed approach.

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Section: Introductionmentioning

confidence: 99%

Tracking Split Group with δ-Generalized Labeled Multi-Bernoulli Filter

Linhai

Wang

2019

Journal of Sensors

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“…Target determination is likewise an issue that must be considered; [5] proposes a novel multitarget detection technique to distinguish nearby or firmly dispersed small infrared targets. A method for numerous objective detection is exhibited in [6].…”

Section: Introductionmentioning

confidence: 99%

Spot-Centroid Determination Algorithms in Semiactive Laser Photodiodes for Artillery Applications

Celis

Cadarso

2019

Journal of Sensors

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Precision of guided projectiles depends equally on the accuracy in determining the coordinates of the objective and on the exactness of the measurement devices utilized for position and attitude calculation of the projectile. Development of algorithms for low-cost high-precision terminal guidance systems is a cornerstone in research in this field. Semiactive laser (SAL) kits, and particularly quadrant detector devices, have been developed to improve precision in guided weapons. Photodetection system can be functionally divided into two main parts: sensing and processing. The sensed signal is processed to estimate the spot coordinates, i.e., the laser footprint, which provides some information regarding projectile-target relative position, to obtain the needed information for the navigation and guidance algorithms. The electrical intensities that a real sensor provides under laboratory conditions are compared to a mathematical model based on area intersection calculations to simulate the intensities on real flights. Then, four different processing algorithms, two of them rational, and the other two logarithmic, are tested for different spot sizes, which are nonlinear. Proposing an interpolation algorithm based on the four electrical intensities obtained in a semiactive laser quadrant photodetector, laser footprint center estimation is improved for artillery applications. Finally, an example illustrating a projectile flight is employed to compare real and calculated laser footprints in order to select the best algorithm for artillery applications.

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