Recognition of radar target based on adaptive feature subspace using range profile
雷达目标一维像识别中的自适应特征子空间法

Aiming at the shortcoming of general statistical feature subspace for range profile recognition in radar target, an adaptive feature subspace approach was proposed. When the number of subspace's dimension or the number of target classes was changed, the adaptive feature subspace could be easily obtained by iteration. Compared with general statistical feature subspace, less operation was needed in forming the adaptive feature subspace. The simulated experimental results of three targets and four targets demonstrate the efficiency of the proposed approach.