Title :
Closed-form solutions of ECV and ECA tracking filters based on a transfer-function approach
Author_Institution :
Shizuoka University, College of Engineering, Hamamatsu, Japan
fDate :
11/1/1987 12:00:00 AM
Abstract :
New expressions are given for analytical solutions to the steady-state gains of the two-state exponentially correlated velocity (ECV) and three-state exponentially correlated acceleration (ECA) tracking filters with continuous-time position measurements. The present solution method is based on a transfer-function approach, and there is no need to know about the knowledge of the estimation error covariance. For a case when the steady-state error covariance or RMS error value is desired, such gains can be incorporated with the algebraic Riccati equation.
Keywords :
filtering and prediction theory; matrix algebra; tracking; transfer functions; RMS error value; algebraic Riccati equation; closed form solutions; continuous-time position measurements; estimation error covariance; steady-state gains; three-state exponentially correlated acceleration; tracking filters; transfer-function; two-state exponentially correlated velocity;
Journal_Title :
Control Theory and Applications, IEE Proceedings D
Conference_Location :
11/1/1987 12:00:00 AM
DOI :
10.1049/ip-d:19870059