The BLUE tracking algorithm with the Doppler measurements in the polar coordinates

被引：0
作者：
Li D. [1 ]
Wang W. [2 ]
机构：
[1] School of Science, Wuhan University of Science and Technology, Wuhan, 430070, Hubei
[2] School of Science, Naval University of Engineering, Wuhan, 430033, Hubei
来源：
Wang, Wei | 1656年 / Chinese Institute of Electronics卷 / 44期
关键词：
Best linear unbiased estimation(BLUE); Converted measurement; Doppler; Target tracking;
D O I：
10.3969/j.issn.0372-2112.2016.07.020
中图分类号：
学科分类号：
摘要：
In fact, the Doppler measurement containing information of target velocity has the potential capability of improving the tracking performance. Two filters are proposed which can use converted Doppler measurements (i. e. the product of the range measurements and Doppler measurements) in the Cartesian coordinates. One filter uses the Doppler pseudo-states; another doesn't use the Doppler pseudo-states. These novel filters are theoretically optimal in the rule of the best linear unbiased estimation in the Cartesian coordinates, and they are free from the fundamental limitations of the measurement-conversion approach. Based on simulation experiments, the approximate, recursive implementations of these two novel filters are compared with those obtained by five state-of-the-art conversion techniques recently. Simulation results demonstrate the effectiveness of the proposed two filters. © 2016, Chinese Institute of Electronics. All right reserved.
引用
收藏
页码：1656 / 1661
页数：5
相关论文
共 11 条
  • [1] Bar-Shalom Y., Negative correlation and optimal tracking with Doppler measurements, IEEE Transactions on Aerospace and Electronic Systems, 37, 3, pp. 1117-1120, (2001)
  • [2] Musicki D., Song T.L., Lee H.H., Correlated Doppler-assisted target tracking in clutter, IET Radar, Sonar & Navigation, 7, 1, pp. 94-100, (2013)
  • [3] Duan Z., Li X., Han C., Et al., Sequential nonlinear tracking filter with range-rate measurements in spherical coordinates, Proceedings of 7th International Conference on Information Fusion, pp. 131-138, (2004)
  • [4] Jiao L., Pan Q., Yan L., Et al., A nonlinear tracking algorithm with range-rate measurements based an unbiased measurement conversion, Proceedings of 15th International Conference on Information Fusion, pp. 1400-1405, (2012)
  • [5] Lei M., Han C., Sequential nonlinear tracking using UKF and raw range-rate measurements, IEEE Transactions on Aerospace and Electronic Systems, 43, 1, pp. 239-250, (2007)
  • [6] Bordonaro S.V., Willett P., Bar-Shalom Y., Performance analysis of the converted range rate and position linear Kalman filter, Proceedings of 47th Asilomar Conference on Systems and Computers, Signals, pp. 1751-1755, (2013)
  • [7] Zhou G., Michel P., Thiagalingan K., Et al., Statically fused converted position and Doppler measurement Kalman filters, IEEE Transactions on Aerospace and Electronic Systems, 50, 1, pp. 300-316, (2014)
  • [8] Lerro D., Bar-Shalom Y., Tracking with debiased consistent converted measurements vs EKF, IEEE Transactions on Aerospace and Electronic Systems, 29, 3, pp. 1015-1022, (1993)
  • [9] Duan Z., Han C., Li X.-R., Comments on “unbiased converted measurements for tracking”, IEEE Transactions on Aerospace and Electronic Systems, 40, 4, pp. 1374-1377, (2004)
  • [10] Wang W., Li D., Et al., The best linear unbiased estimation algorithm with the Doppler measurements, Journal of Electronics & Information Technology, 37, 6, pp. 1336-1342, (2015)
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