Track filters for correlated measurements and target maneuvers

Author

Rogers, Steven R.

Author_Institution

ELTA Electron, Ashdod, Israel

fYear

1990

fDate

21-25 May 1990

Firstpage

307

Abstract

The effect of correlated measurement errors on target tracking accuracies is studied by means of Kalman filter theory. The measurement error is modeled as a first-order Markov process characterized by a correlation time (τ) and a position error variance. The target motion is described by one of two dynamic models: the exponentially correlated velocity (ECV) model and the exponentially correlated acceleration (ECA) model. The analysis is based on two new solutions for the continuous-time, steady-state Kalman covariance. For both the ECV and ECA target models, the velocity variance exhibits resonant behavior whenever the target maneuver bandwidth is close to 1/τ

Keywords

Kalman filters; Markov processes; filtering and prediction theory; measurement errors; military computing; tracking systems; Kalman filter; correlated measurements; correlation time; dynamic models; exponentially correlated acceleration; exponentially correlated velocity; first-order Markov process; measurement errors; military systems; position error variance; resonant behavior; target maneuvers; target motion; target tracking accuracies; track filter; Acceleration; Colored noise; Filters; Measurement errors; Noise measurement; Position measurement; Radar tracking; Target tracking; Time measurement; Velocity measurement;

fLanguage

English

Publisher

ieee

Conference_Titel

Aerospace and Electronics Conference, 1990. NAECON 1990., Proceedings of the IEEE 1990 National

Conference_Location

Dayton, OH

Type

conf

DOI

10.1109/NAECON.1990.112787

Filename

112787