Details

Autor(en) / Beteiligte

• Duník, Jindřich
• Straka, Ondřej
• Kost, Oliver
• Havlík, Jindřich

Titel

Noise covariance matrices in state‐space models: A survey and comparison of estimation methods—Part I

Ist Teil von

• International journal of adaptive control and signal processing, 2017-11, Vol.31 (11), p.1505-1543

Ort / Verlag

Bognor Regis: Wiley Subscription Services, Inc

Erscheinungsjahr

2017

Quelle

Wiley Online Library Journals Frontfile Complete

Beschreibungen/Notizen

• Summary This paper deals with the estimation of the noise covariance matrices of systems described by state‐space models. Stress is laid on the systematic survey and classification of both the recursive and batch processing methods proposed in the literature with a special focus on the correlation methods. Besides the correlation methods, representatives of other groups are introduced also with respect to their basic idea, estimate properties, assumptions and possible extensions, and user‐defined parameters. Common and dual properties of the methods are highlighted, and a simulation comparison using exemplary MATLAB implementations of the methods is provided.