Recently, the study with microwave Doppler radar is paid attention to. Microwave Doppler radar is one of the non-contact sensor, and detects the action of objects. The study focused on indoor human behavior has been developed. However, disturbance environment that pet and electronic device are moving in the room is considered in real daily life. We considered that an oscillating electric fan is most difficult disturbance environment to discriminate from human breathing, because the frequency range of which each signature appears is similar. In this paper, we propose a method to simulate the moving of an oscillating electric fan based on the data obtained from microwave Doppler radar. Finally, we evaluate the modelization of the moving of an oscillating electric fan. We compare computer simulation with metering experiment by residual sum of squares. As a result, our model shows good performance.