The implementation of an Intelligent Reflecting Surface (IRS) for Mobile User Equipment (UE) localization is investigated in this paper. We propose a method for localizing a user employing multiple IRS primarily based on Rician fading channels, which is more aligned with real-world conditions, while using the widely examined Rayleigh fading channels as a benchmark for comparison, suitable for both indoor and outdoor scenarios. This method is contrasted with the traditional Rayleigh fading models, which have been extensively studied and documented in the literature. By leveraging multiple IRS units and considering these channel models, our approach facilitates accurate user positioning in both indoor and outdoor settings. The reflection of signals from the IRS arrays is utilized to pinpoint the user’s location. Numerical results highlight the enhanced accuracy of our Rician-based localization method when juxtaposed with conventional techniques, maintaining robustness even amidst fading phenomena.