摘要
将AIS信息融入到ARPA雷达系统中,为船舶导航和避碰系统提供更精确可靠、更实用的数据。归纳出ARPA雷达与AIS信息融合的系统框架,针对基于模糊数学和统计加权方法进行航迹关联的不足,提出基于灰色理论的航迹关联算法。模拟实验的分析结果表明,目标船在40艘左右的情况下,识别准确率为98%~99%,具有较高的航迹关联匹配率。
In view of the complementarities of the information between ARPA radar and AIS, AIS information was fused into ARPA radar to provide more accurate and reliable data for navigation and the collision avoidance system. The information fusion framework based on ARPA radar and AIS was presented. Owning to the lack of tracks association based on fuzzy mathematics and statistics, a novel tracks association algorithm based on grey theory was proposed. Simulation results demonstrated that the identification accuracy rate is 98%-- 99% in the circumstances of about 40 target ships. It has a high matching rate of tracks association.
出处
《船海工程》
2009年第6期145-148,共4页
Ship & Ocean Engineering