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Optimum Steady State Position, Velocity, and Acceleration Estimation Using Noisy Sampled Position Data

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2 Author(s)
K. V. Ramachandra ; Electronics and Radar Development Estblishment DRDO Complex, Byrasandra Bangalore 560075 India ; Radar C Division

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.

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IEEE Transactions on Aerospace and Electronic Systems  (Volume:AES-23 ,  Issue: 5 )