Exact multisensor dynamic bias estimation with local tracks

@article{Lin2004ExactMD,
  title={Exact multisensor dynamic bias estimation with local tracks},
  author={Xiangdong Lin and Yaakov Bar-Shalom and Thia Kirubarajan},
  journal={IEEE Transactions on Aerospace and Electronic Systems},
  year={2004},
  volume={40},
  pages={576-590}
}
An exact solution is provided for the multiple sensor bias estimation problem based on local tracks. It is shown that the sensor bias estimates can be obtained dynamically using the outputs of the local (biased) state estimators. This is accomplished by manipulating the local state estimates such that they yield pseudomeasurements of the sensor biases with additive noises that are zero-mean, white, and with easily calculated covariances. These results allow evaluation of the Cramer-Rao lower… CONTINUE READING
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References

Publications referenced by this paper.
Showing 1-10 of 25 references

Multisensor bias estimation with local tracks without a priori association

X. Lin, T. Kirubarajan, Y. Bar-Shalom
In Proceedings of SPIE Conference on Signal and Data Processing of Small Targets, • 2003
View 5 Excerpts
Highly Influenced

Estimation with Applications to Tracking and Navigation

Y. Bar-Shalom, X. R. Li, T. Kirubarajan
New York: Wiley, • 2001
View 10 Excerpts
Highly Influenced

Bias modeling and estimation for GMTI applications

K. Kastella, B. Yeary, T. Zadra, R. Brouillard, E. Frangione
In Proceedings of the 3rd International Conference on Information Fusion, • 2000
View 4 Excerpts
Highly Influenced

Maximum likelihood registration for multiple dissimilar sensors

N. Okello, B. Ristic
IEEE Transactions on Aerospace and Electronic Systems, • 2003
View 1 Excerpt

Performance bounds for recursive sensor registration

N. Gordon, B. Ristic, M. Robinson
In Proceedings of the 6th International Conference on Information Fusion (Fusion • 2003
View 1 Excerpt

Airborne GMTI radar position bias estimation using static-rotator targets of opportunity

Y. Bar-Shalom
IEEE Transactions on Aerospace and Electronic Systems, • 2001
View 1 Excerpt

Precision tracking of ground targets

P. J. Shea, T. Zadra, +3 authors K. Kastella
In Proceedings of the IEEE Aerospace Conference, Big Sky, • 2000
View 2 Excerpts

Survey of assignment techniques for multitarget tracking

K. R. Pattipati, Popp, L R., T. Kirubarajan
Multitarget-Multisensor Tracking: Applications and Advances, • 2000

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