Abstract: Generating digital signal in complex electromagnetic environment is one of the core issues in communication countermeasures and jamming. An orthogonal frequency-division multiplexing (OFDM) signal generation scheme based on the pattern-constellation dual discriminator generative adversarial network (Pattern-Constellation dual GAN) is developed. First, symbol vectors in frequency domain are generated by applying the fast Fourier transform to the OFDM signals. Then, the symbol vectors are orderly concatenated into a two-dimensional matrix and stored as a gray-scale image, which contains the corresponding time-frequency features of the OFDM signals. Furthermore, such gray-scale images are used for training and testing the proposed Dual GAN network. In our network, an adversarial game among one generator and two discriminators is established to generate gray-scale images which contain the same time-frequency features as in the training images. The generator aims to generate a counterfeit image to confuse the two discriminators, while the two discriminators aim to distinguish the subcarrier structure and the constellation density between the generated image and the real image, respectively. Finally, the Wi-Fi 802.11a protocol signals are used as examples to verify the effectiveness of proposed signal generation model.