The paper introduces a system for identifying intelligent jammers that locates and targets UAV orders have a low signal-to-jamming power ratio (JSR). Compared to jammers with constant high power requirements levels, smart jammers are more challenging. Orthogonal frequency division multiplexing (OFDM) in collaboration with cognitive radio (CR) can be used together to lower the likelihood of false alarms and boost gain. In cognitive radio networks (CRNs), jamming mitigation is a challenging topic due to the fact that intelligent jammers (JAs) are capable of analyzing users’ transmission patterns and constitute a serious danger to all communications. In order to prevent jamming, game-based strategies have been applied extensively. Among these, the impact of a JA's observation inaccuracy regarding the execution of a Stackelberg anti-jamming game has been investigated. From capacity calculations, an increase in the modulation order is introduced from 4-PSK to 16-QAM. Furthermore, performance comparisons for the proposed smart jamming PAPR reduction algorithm and selective mapping are introduced and the simulation outcomes demonstrate that the recommended approaches achieve a 4 dB PAPR reduction. Consequently, performance in terms of bit error rate comparison of the proposed smart jamming versus the original OFDM system showed an improved performance confirming the suitability of the proposed system for modern wireless technologies.