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船舶航迹分数阶过程关联算法
  • ISSN号：1006-7736
  • 期刊名称：《大连海事大学学报：自然科学版》
  • 时间：0
  • 分类：TN953[电子电信—信号与信息处理;电子电信—信息与通信工程] TP274[自动化与计算机技术—控制科学与工程;自动化与计算机技术—检测技术与自动化装置]
  • 作者机构：[1]淮海工学院计算机工程学院,江苏连云港222005
  • 相关基金：国家自然科学基金重点项目（10731050）; 教育部创新团队项目（IRT00742）
作者： 侯明亮[1], 刘玉然[1], 胡云[1]
关键词： 船舶航迹, 航迹关联, 分数阶, 过程关联, ship track, track correlation, fractional order, process association
中文摘要：

针对具有不同误差雷达和AIS传感器对于船舶航迹跟踪模糊关联问题,提出船舶航迹分数阶关联算法.利用分数阶的记忆性质,将分数阶微分对时间序列局部趋势的度量引入关联算法中.实验证明,分数阶较整数阶关联算法可为船舶航迹关联决策提供更丰富的支持,提高了船舶航迹关联的精度.

英文摘要：

Aiming at the radar and AIS sensor＇s fuzzy association to ship tracking caused by different errors,the fractional order ship tracking correlation algorithm was provided.By taking advantage of the memory property of fractional order,the algorithm introduced the measurement of fractional order differential for the local trend of time sequence into the correlation algorithm.Examples show that the fractional-order association algorithm can provide much more related information and improve the ship tracking correlative accuracy.

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期刊信息
  • 《大连海事大学学报：自然科学版》
  • 北大核心期刊（2011版）
  • 主管单位:交通部
  • 主办单位:大连海事大学
  • 主编：孙玉清
  • 地址：大连凌海路1号
  • 邮编：116026
  • 邮箱：xuebao@dlmu.edu.cn
  • 电话：0411-84727810
  • 国际标准刊号：ISSN：1006-7736
  • 国内统一刊号：ISSN：21-1360/U
  • 邮发代号:
  • 获奖情况:
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  • 俄罗斯文摘杂志,美国化学文摘（网络版）,波兰哥白尼索引,荷兰文摘与引文数据库,美国剑桥科学文摘,日本日本科学技术振兴机构数据库,中国中国科技核心期刊,中国北大核心期刊（2004版）,中国北大核心期刊（2008版）,中国北大核心期刊（2011版）,中国北大核心期刊（2014版）,中国北大核心期刊（2000版）
  • 被引量:6141