Constrained Unscented Kalman Filtering for Bearings-Only Maneuvering Target Tracking

ZHANG Hongwei; XIE Weixin

doi:10.1049/cje.2020.02.006

Volume 29 Issue 3

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ZHANG Hongwei and XIE Weixin, “Constrained Unscented Kalman Filtering for Bearings-Only Maneuvering Target Tracking,” Chinese Journal of Electronics, vol. 29, no. 3, pp. 501-507, 2020, doi: 10.1049/cje.2020.02.006

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ZHANG Hongwei and XIE Weixin, “Constrained Unscented Kalman Filtering for Bearings-Only Maneuvering Target Tracking,” Chinese Journal of Electronics, vol. 29, no. 3, pp. 501-507, 2020, doi: 10.1049/cje.2020.02.006

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Constrained Unscented Kalman Filtering for Bearings-Only Maneuvering Target Tracking

doi: 10.1049/cje.2020.02.006

ZHANG Hongwei^1,2,
XIE Weixin^2
,

1.
Sun Yat-sen University, Guangzhou 510725, China;
2.
ATR Key Laboratory, Shenzhen University, Shenzhen 518060, China

Funds: This work is supported by the National Natural Science Foundation of China (No.61773267) and the Science and Technology Program of Shenzhen (No.20170302145519524, No.20170818102503604).

More Information

Corresponding author: XIE Weixin (corresponding author) is a professor and Ph.D. supervisor of Shenzhen University. He principally engaged in the research intelligent information processing and pattern recognition.(Email:wxxie@szu.edu.cn).
Received Date: 2019-01-22
Rev Recd Date: 2019-02-16
Publish Date: 2020-05-10

Abstract

Abstract

To track the bearings-only maneuvering target tracking accurately online, the soft measurement constraints are implemented into the Unscented Kalman filtering (UKF). To deal with the soft measurement constraints, the Lasso regularization is added as the obstacle function. In doing this, the sampled sigma points can be restricted into the feasible region. To enhance the sampling efficiency, the global optimal solution is acquired by a heuristic optimizer. To smooth the outliers, the posterior distribution is approximated by a Gaussian mixture consists of the original and the modified priors with the fuzzy weighted factor. Simulated results indicate the accuracy and the computational efficiency of the proposed method.
- Bearings-only maneuvering target tracking,
- Soft measurement constraints,
- Optimal

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References(17)

References

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