This research investigates the resilience of user equipment (UE) positioning algorithms in 5G and beyond when amplify-and-forward (AF) relay jamming is present. AF relay jamming is a complex interference that can impair positioning signals such as the Positioning Reference Signal (PRS). The research uses MATLAB simulations to assess the probability of detection (PD) before and after the jamming signals are eliminated. This simulation framework is intended to evaluate the effects of varying jamming power levels (measured in dBm) on PD under fixed PRS time delay and frequency shift conditions. A crucial part of the analysis is to use a two- dimensional (2D) cyclic cross-correlation to identify jamming. The jamming signal is then estimated and subtracted to track variations in PD. In particular, for scenarios with higher signal-to-noise ratios (SNRs), the results show a significant improvement in PD after the jamming signal is estimated and removed. The study shows that the suggested algorithm can successfully suppress the jamming signal, even in difficult situations where AF relay jamming is present. This allows the UE to regain its positioning accuracy. To ensure dependable performance in situations where sophisticated jamming techniques are used, these findings are essential for developing robust 5G and beyond positioning systems.