A one-dimensional tracking filter based on the Kalman filtering techniques for tracking of a dynamic target such as an aircraft is discussed. The target is assumed to be moving with constant acceleration and is acted upon by a plant noise which perturbs its constant acceleration motion. The plant noise accounts for maneuvers and/or other random factors. Analytical results for estimating optimum steady state position, velocity, and acceleration of the target are obtained.
Optimum Steady State Position, Velocity, and Acceleration Estimation Using Noisy Sampled Position Data
IEEE Transactions on Aerospace and Electronic Systems ; AES-23 , 5 ; 705-708
1987-09-01
455620 byte
Article (Journal)
Electronic Resource
English
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