Electromagnetic wave-based target detection has the advantage of all-weather and round-the-clock operation. This paper adopts an adaptive target detection algorithm using 5.1GHz wideband wireless signals and validates its effectiveness through systematic experiments. The algorithm includes correlation curve estimation to capture signal delays and fixed-scattering elimination to remove unwanted interference. A constant false alarm rate (CFAR) algorithm is then applied to detect targets in complex environments accurately. Experimental results demonstrate that the proposed method can effectively distinguish targets from the background and achieve high detection accuracy even in challenging conditions. This research provides a robust solution for target detection in intelligent transportation systems including airport communications, highlighting the potential of integrating sensing and communication functionalities in the 5.1 GHz band.