دورية أكاديمية

A Gaussian Filtering Method for Multitarget Tracking With Nonlinear/Non-Gaussian Measurements.

التفاصيل البيبلوغرافية
العنوان: A Gaussian Filtering Method for Multitarget Tracking With Nonlinear/Non-Gaussian Measurements.
المؤلفون: F. Garcia-Fernandez, Angel1 (AUTHOR) angel.garcia-fernandez@liverpool.ac.uk, Ralph, Jason1 (AUTHOR) jfralph@liverpool.ac.uk, Horridge, Paul1 (AUTHOR) p.horridge@liverpool.ac.uk, Maskell, Simon1 (AUTHOR) s.maskell@liverpool.ac.uk
المصدر: IEEE Transactions on Aerospace & Electronic Systems. Oct2021, Vol. 57 Issue 5, p3539-3548. 10p.
مصطلحات موضوعية: FILTERS & filtration, MULTIPLE target tracking, WATER filtration, AREA measurement
مستخلص: This article proposes a Gaussian filtering method to approximate the single-target updates and normalizing constants for multitarget tracking with nonlinear, non-Gaussian measurements, and a state-dependent probability of detection. The Gaussian approximation is based on the posterior linearization technique, which seeks the optimal affine approximation of the nonlinearities in a mean square error sense. The normalizing constant is approximated using sigma-points based on the posterior. The proposed approach is implemented in a Poisson multi-Bernoulli mixture filter and compared against standard methods to approximate single-target posteriors and normalizing constants in two range-bearings tracking scenarios. [ABSTRACT FROM AUTHOR]
Copyright of IEEE Transactions on Aerospace & Electronic Systems is the property of IEEE and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
قاعدة البيانات: Business Source Index
الوصف
تدمد:00189251
DOI:10.1109/TAES.2021.3074200