Anti-jamming Communication Transmission Based on Adaptive Mode Optimization and Preferred Channel Selection

With the advancement of communication technology and the proliferation of diverse wireless devices, the electromagnetic spectrum environment has grown increasingly intricate and highly vulnerable to various forms of electromagnetic jamming, potentially resulting in communication disruptions. To address this issue, an anti-jamming communication system has been developed, which integrates spectrum sensing capabilities from cognitive radio technology with Non-Contiguous Orthogonal Frequency Division Multiplexing (NC-OFDM). This system facilitates adaptive adjustments to transmission parameters, enabling the communication system to function seamlessly in complex electromagnetic environments. Initially, the Residual Network (ResNet) is employed to identify typical jamming patterns and estimate the corresponding jamming parameters. If jamming is detected, a precise assessment of the status of sub-channels within the working channel is conducted. Based on this sub-channel status, a suitable enhanced NC-OFDM mode is selected, and the corresponding anti-jamming strategy is devised to achieve the objective of anti-jamming transmission. Furthermore, by leveraging spectrum holes, the efficiency of spectrum utilization is significantly improved. Both simulation and experimental validations have demonstrated a $99.5 \%$ accuracy in identifying typical jamming types, accompanied by an average absolute percentage error of less than $1 \%$ for the estimation of jamming parameters. Lastly, the application of the segmented Forward Consecutive Mean Excision (FCME) algorithm demonstrates remarkable precision in detecting jamming spectral lines. Practical testing on software-defined radio (SDR) platforms has validated the substantial anti-jamming capabilities of this communication system.