Maneuvering Target Tracking Using Simultaneous Optimization and Feedback Learning Algorithm Based on Elman Neural Network

Tracking maneuvering targets is a challenging problem for sensors because of the unpredictability of the target’s motion. Unlike classical statistical modeling of target maneuvers, a simultaneous optimization and feedback learning algorithm for maneuvering target tracking based on the Elman neural n...

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Detalles Bibliográficos
Autores principales: Liu, Huajun, Xia, Liwei, Wang, Cailing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6480454/
https://www.ncbi.nlm.nih.gov/pubmed/30986986
http://dx.doi.org/10.3390/s19071596

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6480454/
https://www.ncbi.nlm.nih.gov/pubmed/30986986
http://dx.doi.org/10.3390/s19071596

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