A Complex-Valued Neural Network (CVNN) radar target recognition method based on echo in resonance region is proposed to solve the problem that the existing schemes has low utilization rate of echo in resonance region.CVNN can not only improve the problem of data loss in the process of poles feature extraction，and realize automatic feature extraction of features in the resonance echo，but also take into account the internal coupling relationship between the real part and the imaginary part of data.The artificially extracted pole features，the target features extracted by real-valued Convolutional Neural Network(CNN) and CVNN are input into KNN and SVM for comparison.Experimental results prove the effectiveness of the proposed method，and the recognition accuracy can still reach more than 98.5% under the condition of -5 dB signal-to-noise ratio.Compared with the existing schemes，the accuracy of target recognition is improved.