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An important and widely used detection technique is cyclostationarity-based feature detection because the method does not require prior information such as the signal bandwidth or frame format, and time and frequency synchronization are likewise not required. The problem with conventional cyclostationarity-based feature detection is that the detection probability of weak signals degrades if multiple signals with different received-power levels are captured simultaneously. One way to address this problem is to use a multiple signal identification method in which appropriate notches suppress the effects of other signals. In this paper, we evaluate a multiple signal identification method based on test bed experiments. In order to evaluate the method in a realistic environment as a field test, a spatial channel emulator and an antenna of a mock terminal are applied to the test bed. The results reveal the effectiveness of the methodology in realistic spectrum sharing scenarios.