Kernel discriminant analysis (KDA) is an effective method for nonlinear feature extraction in radar target recognition, but it is usually difficult to solve due to the singular problem.

• 摘要特征提取是雷达目标识别研究中的重要问题，有效、稳健的特征是提高识别率的关键。