Abstract
This paper proposes a data association algorithm based on multi-factor fuzzy judgment and gray correlation analysis, in order to improve the correct correlation between AIS and radar targets. The target track is formatted into a sequence of four factors in this algorithm, such as distance, bearing, speed and course. We compute preliminary the algorithm of multi-factor fuzzy judgment based on four factors. And if the target satisfies the preliminary associated conditions with four factors, we continue to do the gray correlation analysis. Compared to the multi-factor fuzzy judgment, the simulation results of this paper show that the algorithm can reduce the probability of false association effectively. And compared to the gray correlation analysis, the algorithm can reduce the calculation range effectively.
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Acknowledgments
This research was supported by the National Natural Science Foundation of China (61301132), the National Key Technology R&D Program (2015BAG20B02), the Natural Science Foundation of Liaoning Province (201601065), and the Fundamental Research Funds for the Central Universities (3132017129, 32016347).
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Liu, C., Xu, T., Yao, T., Deng, Z., Liu, J. (2019). Data Association of AIS and Radar Based on Multi-factor Fuzzy Judgment and Gray Correlation Grade. In: Liang, Q., Mu, J., Jia, M., Wang, W., Feng, X., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2017. Lecture Notes in Electrical Engineering, vol 463. Springer, Singapore. https://doi.org/10.1007/978-981-10-6571-2_158
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DOI: https://doi.org/10.1007/978-981-10-6571-2_158
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