AIS与ARPA数据融合算法  

A Data Fusion Algorithm for ARPA with AIS Position

作　　者：应士君[1] 施朝健[1] 王胜正[1,2] 

机构地区：[1]上海海事大学商船学院,上海200135 [2]上海交通大学模式识别与图像处理研究所,上海200030

出　　处：《船用导航雷达》2009年第2期1-7,共7页

基　　金：国家高技术研究发展863计划基金（2007AA11Z249）,上海市重点学科建设项目（T0603）

摘　　要：自动雷达标绘仪（ARPA）和船舶自动识别系统（AIS）是现代船舶保证航行安全必不可少的导航设备，ARPA更被认为是最主要的避碰设备，但在恶劣气象条件下其探测距离、跟踪精度和可靠性将会大受影响。AIS可以连续提供稳定精确的船舶导航信息。本文提出了一种利用AIS数据的信息融合算法来提高ARPA的跟踪精度和可靠性，用VC＋＋在PC上编写了数据融合跟踪程序，并在雷达模拟器上进行了仿真试验。实验结果表明本算法可以有效提高ARPA位置跟踪精度和可靠性。Automatic Radar Plotting Aids （ARPA） and Automatic Identification System （AIS） are the most important navigational systems on board. ARPA is considered as the primary anti -collision system, but its detecting ability, tracking accuracy and reliability are affected badly under the rough environmental weather condition. AIS provide steadily and continuously navigational data, which come from GPS or DGPS has higher precision. In this paper, a data fusion algorithm has been developed .for ARIA and AIS to improve their tracking accuracy and reliability. The proposed algorithm was experimented on a navigational radar simulator and a pc based platform programmed with VC ＋ ＋. The simularing results show that this method can effectively improve the accuracy and reliability of tracking position.

关 键 词：自动雷达标绘仪 自动识别系统 数据融合 

分 类 号：U675.74[交通运输工程—船舶及航道工程] TP274.2[交通运输工程—船舶与海洋工程]