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.
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.
出处
《大连海事大学学报》
CAS
CSCD
北大核心
2012年第1期12-14,共3页
Journal of Dalian Maritime University
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)
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