A New Pseudolinear Filter for Bearings-Only Tracking without Requirement of Bias Compensation

In bearings-only tracking systems, the pseudolinear Kalman filter (PLKF) has advantages in stability and computational complexity, but suffers from correlation problems. Existing solutions require bias compensation to reduce the correlation between the pseudomeasurement matrix and pseudolinear noise...

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Detalles Bibliográficos
Autores principales: Bu, Shizhe, Meng, Aiqiang, Zhou, Gongjian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8399602/
https://www.ncbi.nlm.nih.gov/pubmed/34450886
http://dx.doi.org/10.3390/s21165444

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8399602/
https://www.ncbi.nlm.nih.gov/pubmed/34450886
http://dx.doi.org/10.3390/s21165444

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