In this paper, we present a novel detection architecture in a through-wall environment using impulse radio ultra-wideband(IR-UWB) radar. In the proposed architecture, multiple moving target indicators and constant false alarm rate(CFAR) detectors are combined to detect both stationary and moving targets. Each detector is designed for the state of targets; in particular, the modified CFAR method is applied to detect fast-moving targets precisely. The outputs of the CFAR detectors are combined through a logical operation to achieve high detection rates for the targets in different movement. This fusion can be used not only to achieve a high detection rate but also increase the false alarm rate. The characteristics of the signals detected on the CFAR are analyzed to reduce the high false alarm rate by classifying the actual target and false target. Experiments were performed for different scenarios of multiple targets using various movements. It is verified that the proposed algorithm has improved performance in terms of both detection rate and false alarm rate compared with conventional approaches, such as cell averaging CFAR and ordered statistics CFAR.