A MODEL FOR FUZZY DATA CORREALATION OF AIS AND RADAR

With the development of Automatic Identification System (AIS), more and more vessels are equipped with AIS device, which is a new tool for vessel monitoring and marine safety. In this paper, we compared the function of AIS and radar, the traditional tool for Vessel Traffic Service (VTS). And then we discussed the necessity of data fusion of the same target from the two sensors of AIS and radar. According to the characteristic and the difference of tracking performance of AIS and radar we proposed a fuzzy correlation method for target tracking and data fusion. The experiment shows that the proposed method is correct and efficient and it can improve the performance and the stability of VTS.

[1]  Lee Alexander,et al.  Establishing an IALA AIS Binary Message Register: Recommended Process , 2010 .

[2]  Andy Norris,et al.  AIS implementation -- success or failure? , 2007 .

[3]  Gudrun Høye,et al.  Maritime traffic monitoring using a space-based AIS receiver , 2006 .

[4]  Po-Tang Chen,et al.  An Air Quality Monitoring System for Urban Areas Based on the Technology of Wireless Sensor Networks , 2012 .

[5]  Yaakov Bar-Shalom,et al.  Multitarget/Multisensor Tracking: Applications and Advances -- Volume III , 2000 .

[6]  Nobuhiro Sawano Current Situation of Digitalized Ship Navigation System for Safety , 2008, 22nd International Conference on Advanced Information Networking and Applications - Workshops (aina workshops 2008).

[7]  Daniel Sánchez,et al.  Fuzzy association rules: general model and applications , 2003, IEEE Trans. Fuzzy Syst..

[8]  Eyke Hüllermeier,et al.  A Note on Quality Measures for Fuzzy Asscociation Rules , 2003, IFSA.

[9]  Yaakov Bar-Shalom,et al.  Multitarget-Multisensor Tracking: Applications and Advances , 1992 .

[10]  Guoquan Chen,et al.  Study on the target association arithmetic of the marine radar and AIS , 2009, 2009 9th International Conference on Electronic Measurement & Instruments.

[11]  James Llinas,et al.  Multisensor Data Fusion , 1990 .

[12]  Bidyut Baran Chaudhuri,et al.  On correlation between two fuzzy sets , 2001, Fuzzy Sets Syst..

[13]  Hao-En Chueh,et al.  Fuzzy correlation rules mining , 2007 .

[14]  Liu Chang,et al.  Study of Data Fusion of AIS and Radar , 2009, 2009 International Conference of Soft Computing and Pattern Recognition.

[15]  Xindong Wu,et al.  Efficient mining of both positive and negative association rules , 2004, TOIS.

[16]  I. Harre AIS Adding New Quality to VTS Systems , 2000, Journal of Navigation.

[17]  Liu Xiaoming,et al.  Fusion of radar and AIS data , 2004, Proceedings 7th International Conference on Signal Processing, 2004. Proceedings. ICSP '04. 2004..

[18]  Hao-En Chueh,et al.  Mining Target-Oriented Fuzzy Correlation Rules to Optimize Telecom Service Management , 2011, ArXiv.

[19]  Chris Cornelis,et al.  Elicitation of fuzzy association rules from positive and negative examples , 2005, Fuzzy Sets Syst..

[20]  Le Lina,et al.  AIS Information Decoding and Fuzzy Fusion Processing with Marine Radar , 2008, 2008 4th International Conference on Wireless Communications, Networking and Mobile Computing.

[21]  D. K. Barton,et al.  Radar system analysis and modeling , 2004, IEEE Aerospace and Electronic Systems Magazine.

[22]  Thia Kirubarajan,et al.  Fusion of over-the-horizon radar and automatic identification systems for overall maritime picture , 2007, 2007 10th International Conference on Information Fusion.