Multi-target Anti-interference for Localization with Angle-of-Arrival Method Based on Drift Clustering
With the rapid development of the technology of detecting emitters by manned/unmanned reconnaissance aircraft,the passive Localization with Angle-of-Arrival(AoA)of multi-targets is always the focus of research.In this paper,a multi-target anti-interference for Localization with AoA algorithm based on drift clustering is proposed.The algorithm is designed based on two-dimensional space.Firstly,the longitude and latitude conversion is performed,and then the AoA lines are grouped by the clustering idea,eliminate noise AoA lines with less number in clustering arrowheads.Finally,in the clustering iteration,the nearest point to each AoA line in the group is taken as the location point.The experimental results show that the algorithm can cluster and localize multi-targets well in the multi-target passive AoA data with noisy AoA lines.
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