Title :
Kalman-Bucy filter for optimum radio-inertial navigation
Author_Institution :
The Catholic University of America, Washington, D.C.
Abstract :
A seemingly paradoxical situation existed in the Kalman-Bucy formulation of a problem of optimum radio-inertial navigation. The difficulty is traced to the a priori information used in the estimate and variance equations. The reason for the existence of an improved a priori estimate is given. It is shown that with the improved a priori information as initial conditions, the Kalman-Bucy filter gives the same result as that obtained by Peterson originally using the integral equation approach.
Keywords :
Acceleration; Accelerometers; Filters; Information filtering; Instruments; Integral equations; Noise measurement; Position measurement; Radio navigation; Vehicle dynamics;
Conference_Titel :
Adaptive Processes, Sixth Symposium on
Conference_Location :
Chicago, IL, USA
DOI :
10.1109/SAP.1967.272983