Optimal jamming method based on grey wolf optimization and orthogonal decomposition

Abstract

Jamming attacks can significantly degrade the performance of wireless communication systems and plays a very important role in electronic countermeasures and radio resource management. Most of the relevant research in recent years has been conducted to analyze the optimal jamming of digital modulation signal under the condition of constellation diagram without distortion. However, in non-ideal reception conditions, the optimal jamming scheme will no longer be the conventional one due to the constellation distortion. Therefore, aiming at the optimal jamming scheme for non-ideal received multiple quadrature amplitude modulation (MQAM) signals, a grey wolf optimization-orthogonal decomposition (GWO-OD) based optimal jamming waveform construction algorithm is proposed in this paper. Based on the orthogonal decomposition algorithm, this method can freely distribute the power between the in-phase dimension and the orthogonal dimension. The optimal allocation scheme is selected by using the GWO algorithm, and various unconventional jamming modulation signals are constructed. The simulation results show that the proposed algorithm can intelligently select the jamming scheme with the best jamming effect. In the case of constellation distortion, the jamming modulation scheme constructed by this method has a better jamming effect than the conventional scheme, which is better than the existing optimal jamming methods.