With the increase in the research on marine IoT in recent years, the demand for enhanced mission performance in marine construction and civil engineering is increasing. Accordingly, various equipment have been introduced in the field. However, recognizing the location of the equipment is difficult because of the underwater environmental characteristics (e.g., radiated noise and turbidity). As a result, studies have been conducted on underwater positioning methods that combine technologies such as GPS (Global Positioning System)and IMU (Inertial Measurement Unit).However, the problem of intermittent disconnection persists due to radiated noise and turbidity generated in offshore construction environments. To solve this problem, we proposed the method of using a KF(Kalman Filter) in underwater construction environments. To verify the proposed method, we conducted an experiment on land at the speed used in offshore construction. In the experiment, the signal acquisition cycle was varied, and the usable cycle in the field was checked. The experimental results demonstrated the applicability of the proposed underwater positioning system.