Abstract
The characteristic of Kalman gain in a cubature Kalman filter for filtering 1-D chaotic signals is investigated. It is shown theoretically that the Kalman gain converges to zero for the case of periodic nonlinear systems, and it either approaches the Cramér-Rao lower bound or oscillates aperiodically for the case of chaotic nonlinear systems. Results from analysis of the Kalman gain are verified by simulations of some representative nonlinear systems.
Original language | English |
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Article number | 6415995 |
Pages (from-to) | 229-232 |
Number of pages | 4 |
Journal | IEEE Signal Processing Letters |
Volume | 20 |
Issue number | 3 |
DOIs | |
Publication status | Published - 11 Feb 2013 |
Keywords
- Cramér-Rao lower bound
- cubature Kalman filter
- Kalman gain
- Lyapunov exponent
ASJC Scopus subject areas
- Signal Processing
- Applied Mathematics
- Electrical and Electronic Engineering