Analytic Optimization of Implemented Discrete Time for Kalman Filter during Stationary North-Finding

Abstract:

According to the mechanization of the Kalman filter, the processing load of implementing a Kalman filter can be different under various system propagation rates and measurement update rates. With the definitions of uniform and complete observability, uniform and complete controllability, an analytic method of evaluating the effects of various system propagation rates and measurement update rates on the azimuth error during stationary north-finding was proposed. Variance calculations and experimental tests were presented to demonstrate the applicability of the proposed analytic method and let analysts maintain good physical insight into the estimation behavior of the final azimuth error. In conclusion, the proposed analytic method will help analysts optimize system propagation rate and measurement update rate to make the computational load fall within the available processing capacity.

• Periodical: Applied Mechanics and Materials (Volumes 511-512)
• Pages: 857-861
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.511-512.857
• Online since: February 2014
• Authors: Hua Peng Yu, Wen Qi Wu*, Ju Liang Cao
• Keywords: Controllability, Kalman Filter, Measurement Update Interval, North-Finding, Observability, System Propagation Interval

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