Abstract: To cope with the problem that the traditional methods can not extract robust fine feature for identifying the communication transmitter, an efficient fine feature extraction method called orthogonal local spline discriminant embedding based on manifold learning is proposed for communication transmitter recognition. Extensive experiments on the real-world communication radio database demonstrate the feasibility and effectiveness of the proposed method.