The Multi-Target Association Algorithm Based on Multi-Feature

With the development of modern detect radar, we can get more abundant electromagnetic scattering information, such as RCS feature, polarization feature, angular glint. Appearance of feature measure radar speed up development of target association, recognition and tracking. This paper proposes a kind of multi-target association algorithm based on multi-feature. This algorithm uses target location feature and electromagnetic feature so that it can solve the problem of error in condition of dense clutter, multi-target and false target. The result shows that both using electromagnetic scattering information and location feature can reduce error probability and increase tracking precision.