A clustering algorithm based on FR-ENN for situation awareness

Targets need to comply with the special formation rules when executing battle tasks. This paper presents an algorithm based on Formational Recognition and Extended Nearest Neighbor (FR-ENN) theory to perform the target clustering for situation assessment. The core idea of the proposed algorithm is to group the relative targets by changing the limit value intelligently and recognize the battle formation with the triangular character recognition in order to help commander apperceive the situation better. The experimental results based on five scenarios show the effective of the proposed method.