HongYuan Zhan
, Ziquan Liang, Huansheng Lu,
Junlian Lin, Jiaying Ye, Lubin Wu College of Electrical Engineering, Jinan University, Zhuhai, China
MLA 8 Zhan, HongYuan, et al. "STUDY ON UNMANNED SHIP POSITIONING ALGORITHM BASED ON MAXIMUM LIKELIHOOD METHOD AND MIN-MAX LOCALIZATION ALGORITHM." Int. j. of Social Science and Economic Research, vol. 4, no. 4, Apr. 2019, pp. 3165-3174, ijsser.org/more2019.php?id=236. Accessed Apr. 2019.
APA Zhan, H., Liang, Z., Lu, H., Lin, J., Ye, J., & Wu, L. (2019, April). STUDY ON UNMANNED SHIP POSITIONING ALGORITHM BASED ON MAXIMUM LIKELIHOOD METHOD AND MIN-MAX LOCALIZATION ALGORITHM. Int. j. of Social Science and Economic Research, 4(4), 3165-3174. Retrieved from ijsser.org/more2019.php?id=236
Chicago Zhan, HongYuan, Ziquan Liang, Huansheng Lu, Junlian Lin, Jiaying Ye, and Lubin Wu. "STUDY ON UNMANNED SHIP POSITIONING ALGORITHM BASED ON MAXIMUM LIKELIHOOD METHOD AND MIN-MAX LOCALIZATION ALGORITHM." Int. j. of Social Science and Economic Research 4, no. 4 (April 2019), 3165-3174. Accessed April, 2019. ijsser.org/more2019.php?id=236.
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Abstract: The common using positioning algorithm include GPS, Beidou navigation and other positioning
technologies in application field of unmanned ship at present. However, the civil GPS, Beidou
navigation and other technologies have low precision and high price. In order to meet the
research requirement, an unmanned ship positioning algorithm based on maximum likelihood
estimation and Min-Max localization algorithm is proposed in this paper. This paper designs
accuracy and stability experiment to verify the performance of the algorithm. By analysing the
experimental data, this paper concludes that the positioning algorithm has well accuracy and
stability with lower costs. So that it can be applied to the requirements of positioning in short
range.
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