Computational requirements for a discrete Kalman filter

作者: J. Mendel

DOI: 10.1109/TAC.1971.1099837

关键词:

摘要: How practical is a Kalman filter? One answer to this question provided by the computational requirements for filter. Computational requirements-computational time per cycle (iteration) and required storage-determine minimum sampling rates computer memory size. These are in paper as functions of dimensions important system matrices discrete Two types measurement processing discussed: simultaneous sequential. It shown that it often better process statistically independent measurements more than one batch then use sequential them together via processing.

参考文章(1)
H.W. SORENSON, Kalman Filtering Techniques Advances in Control Systems. ,vol. 3, pp. 219- 292 ,(1966) , 10.1016/B978-1-4831-6716-9.50010-2