Abstract:
A model of target motion in three-dimensional space that includes position derivatives up to the third order is developed. Compared with available models, which include t...Show MoreMetadata
Abstract:
A model of target motion in three-dimensional space that includes position derivatives up to the third order is developed. Compared with available models, which include terms at the most up to the second derivative, the model introduced in this work, called the jerk model, can more accurately describe agile target maneuvers which are likely to contain significant higher order derivatives. A compatible 4-state Kalman filter to perform tracking in conjunction with the jerk model is also presented, and an initialization procedure for the filter is provided. The improved performance of the jerk model over a lower order model is illustrated through numerical simulation.
Published in: IEEE Transactions on Aerospace and Electronic Systems ( Volume: 33, Issue: 4, October 1997)
DOI: 10.1109/7.624345
References is not available for this document.
Select All
1.
C. C. Schooler, "Optimal alpha beta filters for systems with modeling inaccuracies", IEEE Transactions on Aerospace and Electronic Systems, vol. AES-11, pp. 1300-1306, Nov. 1975.
2.
P. R. Kalata, "The tracking index: A generalized parameter for alpha beta target trackers", IEEE Transactions on Aerospace and Electronic Systems, vol. AES-20, pp. 174-182, Mar. 1984.
3.
D. L. Solomon, "Covariance matrix for alpha beta gamma filtering", IEEE Transactions on Aerospace and Electronic Systems, vol. AES-21, pp. 157-159, Jan. 1985.
4.
J. S. Thorp, "Optimal tracking of maneuvering targets", IEEE Transactions on Aerospace and Electronic Systems, vol. AES-9, pp. 512-519, July 1973.
5.
R. A. Singer, "Estimating optimal tracking filter performance for manned maneuvering targets", IEEE Transactions on Aerospace and Electronic Systems, vol. AES-6, pp. 473-483, July 1970.
6.
K. Spingarn and H. L. Weidemann, "Linear regression filtering and prediction for tracking maneuvering aircraft targets", IEEE Transactions on Aerospace and Electronic Systems, vol. AES-8, pp. 800-810, Nov. 1972.
7.
R. L. Moose, "An adaptive state estimation solution to the maneuvering target problem", IEEE Transactions on Automatic Control, vol. AC-20, pp. 359-362, June 1975.
8.
R. L. Moose, H. F. Vanlandingham and D. H. McCabe, "Modeling and estimation for tracking maneuvering targets", IEEE Transactions on Aerospace and Electronic Systems, vol. AES-15, pp. 448-456, May 1979.
9.
Y. Bar-Shalom and K. Birmiwal, "Variable dimension filter for maneuvering target tracking", IEEE Transactions on Aerospace and Electronic Systems, vol. AES-18, pp. 621-629, Sept. 1982.
10.
J. J. Sudano, "The α-β-Γ- tracking filter with a noisy jerk as the maneuver model", IEEE Transactions on Aerospace and Electronic Systems, vol. 29, pp. 578-580, Apr. 1993.
11.
S. A. Hoffman and W. D. Blair, "Comments on The α-β-Γ tracking filter with a noisy jerk as the maneuver model", IEEE Transactions on Aerospace and Electronic Systems, vol. 30, pp. 925-928, July 1994.