The clutter suppression based on statistical techniques in TWI application

In through-the-wall imaging, the clutter, because of its great energy, has a great effect on the detection of targets behind walls. In this paper, assume that echo comprises three signals: background signal, noise and target signal. The first two are referred to as clutter. Statistical techniques, such as SVD, PCA and FA, are used to extract target information and suppress clutter. Meanwhile, the connection between these techniques is discussed theoretically, in order to understand the theory deeply and choose proper technique to achieve better clutter suppression performance. The SCR, as a conventional evaluation criterion, is used to demonstrate the suppression performance. For thorough testify the conclusion, two through-the-wall experiments, including plywood wall and concrete wall, are designed in anechoic chamber. The results confirm the conclusion in this paper.