[1]
Roecker, J. A. and McGillem, C. D.: Comparison of Two-sensor Tracking Methods Based on State-vector Fusion and Measurement Fusion. IEEE Trans. Aerosp. Electron. Syst., vol. 24, no. 4, pp.447-449. (1988).
DOI: 10.1109/7.7186
Google Scholar
[2]
Gan, Q. and Harris, C. J.: Comparison of Two Measurement Fusion Methods for Kalman-filter-based Multisensor Data Fusion. IEEE Trans. Aerosp. Electron. Syst., vol. 37, no. 1, pp.273-280. (2001).
DOI: 10.1109/7.913685
Google Scholar
[3]
Fong, L. -W.: Multi-sensor Measurement Fusion via Adaptive State Estimator. In: International Conference on Electric and Electronics 2011. LNEE, vol. 100, pp.455-462. Springer, Heidelberg (2011).
DOI: 10.1007/978-3-642-21762-3_59
Google Scholar
[4]
Fong, L. -W.: On-line Bayesian Classifier Design for Measurement Fusion. Advanced Materials Research, vol. 461, pp.826-829. (2012).
DOI: 10.4028/www.scientific.net/amr.461.826
Google Scholar
[5]
Ramachandra, K. V.: Optimum Steady State Position, Velocity, and Acceleration Estimation Using Noisy Sampled Position Data. IEEE Trans. Aerosp. Electron. Syst., vol. 23, no. 5, pp.705-708. (1987).
DOI: 10.1109/taes.1987.310865
Google Scholar
[6]
Sudano, J. J.: The α-β-Γ Tracking Filter with a Noisy Jerk as the Maneuver Model. IEEE Trans. Aerosp. Electron. Syst., vol. 29, no. 2, pp.578-580. (1993).
DOI: 10.1109/7.210097
Google Scholar
[7]
Kalata, P. R.: The Tracking Index: A Generalized Parameter for α-β and α-β-γ Target Trackers. IEEE Trans. Aerosp. Electron. Syst., vol. 20, no. 2, pp.174-182. (1984).
DOI: 10.1109/taes.1984.310438
Google Scholar
[8]
Fong, L. -W.: Multisensor Fusion via Alpha-Beta-Gamma Filtering with Covariance Matching Method, Journal of Aeronautics, Astronautics and Aviation, Series A vol. 38, no. 4, pp.241-250. (2006).
Google Scholar
[9]
Song, T. L., Ahn, J. Y. and Park, C.: Suboptimal Filter Design Design with Pseudomeasurements for Target Tracking. IEEE Trans. Aerosp. Electron. Syst., vol. 24, no. 1, pp.28-39. (1987).
DOI: 10.1109/7.1033
Google Scholar
[10]
Fong, L. -W.: Multi-sensor data fusion with estimated weights. In: Proceedings of 2006 IEEE International Symposium on Industrial Electronics, pp.22-26. (2006).
DOI: 10.1109/isie.2006.295562
Google Scholar