Radar target recognition using organizational revolutionary classification algorithm

摘要

Based on evolutionary computation, a new classification approach, OCEC, for radar target recognition using high-resolution range profiles is proposed. OCEC has nothing with dimension of the input space and has advantages of small amount of computation and stable performance. Simulations are presented to classify microwave anechoic chamber data for three different scaled airplane models. The results show OCEC has higher performance than other algorithms for recognition of high-resolution radar target range profiles.