Research on information fusion structure of radar and AIS
Xueshu Qin, Mingzhong Yan, Daqi Zhu · 2018
Aiming at the information fusion of ARPA (Automatic Radar Plotting Aid) radar and AIS (Automatic Identification System), we improved the fusion structure of ARPA and AIS by using historical system target track to correct the current track. Firstly, spatial registration is done by converting the coordinates of ARPA and AIS into a united Cartesian coordinate system to present the target data. Secondly, the nearest neighbor method is used to conduct the temporal registration of ARPA and AIS target data. Thirdly, distance-velocity correlation algorithm is introduced to the association of ARPA and AIS targets, and the associated target data are fused by a weighted fusion algorithm. Finally, the current target track is adaptive corrected by the previous track. The experimental results show that the proposed information fusion structure can associate the local ARPA and AIS targets effectively and produce a smooth target track.