This paper focuses on modeling and estimation of time-varying wireless long-term fading channels. The received signal strength data is used to estimate and identify the channel parameters. The goal is to develop a reliable model that can accurately predict the channel behavior. The proposed method is expected to improve the performance of wireless communication systems by providing a more accurate representation of the channel characteristics.