This article describes a system that is capable of detecting dangerous objects carried under a person's clothing from a standoff position. The system is autonomous and automatically renders a decision regarding the outcome of a test for a particular person's results to an operator. That decision is reached on the basis of processing many parameters extracted from both the frequency and time domain responses of the radar return in an artificial neural net. This system has been extensively tested and been shown to be highly accurate. This work is sponsored by the MacAleese Companies dba Safe Zone Systems.
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