دورية أكاديمية
Model set adaptive filtering algorithm using variational Bayesian approximations and Rényi information divergence
| العنوان: | Model set adaptive filtering algorithm using variational Bayesian approximations and Rényi information divergence |
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| المؤلفون: | Tianli Ma, ChaoBo Chen, Song Gao |
| المصدر: | EURASIP Journal on Advances in Signal Processing, Vol 2020, Iss 1, Pp 1-15 (2020) |
| بيانات النشر: | SpringerOpen, 2020. |
| سنة النشر: | 2020 |
| المجموعة: | LCC:Telecommunication LCC:Electronics |
| مصطلحات موضوعية: | Target tracking, Variational Bayesian, Model set adaptive, System model uncertainty, Rényi information divergence, Telecommunication, TK5101-6720, Electronics, TK7800-8360 |
| الوصف: | Abstract The paper presents a model set adaptive filtering algorithm based on variational Bayesian approximation (MSA-VB) for the target tracking system with the model and noise uncertainties. The Rényi information divergence, as a criterion, is to choose the best match model that has the minimum divergence between candidate models and true mode. Subsequently, the model-conditioned estimation based on variational Bayesian approximation is proposed to estimate system state and measurement noise variances. To deal with the coupled noise intractability, the moments matching technique is used to obtain the mixed statistics of measurement noise at the fusion stage. The proposed algorithm is compared with the interacting multiple models (IMM) algorithm and the variational Bayesian-interacting multiple models (IMM-VB) algorithm via two scenarios for maneuvering target tracking, and simulation results show that the MSA-VB has improved estimation and tracking performance. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 1687-6180 |
| Relation: | http://link.springer.com/article/10.1186/s13634-020-00670-x; https://doaj.org/toc/1687-6180 |
| DOI: | 10.1186/s13634-020-00670-x |
| URL الوصول: | https://doaj.org/article/fb739d3a8f924c5bbad8f69abaab1308 |
| رقم الأكسشن: | edsdoj.fb739d3a8f924c5bbad8f69abaab1308 |
| قاعدة البيانات: | Directory of Open Access Journals |
Find this article in full text from Springer Verlag. 
Full Text Finder | تدمد: | 16876180 |
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| DOI: | 10.1186/s13634-020-00670-x |