AI-Based W-Band Suspicious Object Detection System for Moving Persons: Two-Stage Walkthrough Configuration and Recognition Optimization

<table class="table-group" id="tab2"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td class="align_left">Item</td><td class="align_center">Values</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left">Environment</td><td class="align_center">Anechoic chamber</td></tr><tr><td class="align_left">mmW radar</td><td class="align_left"></td></tr><tr><td class="align_left"> Frequency</td><td class="align_center">78 GHz band</td></tr><tr><td class="align_left"> Modulation</td><td class="align_center">FM-CW</td></tr><tr><td class="align_left"> Bandwidth</td><td class="align_center">~4 GHz</td></tr><tr><td class="align_left"> Ant. Height</td><td class="align_center">2 m</td></tr><tr><td class="align_left">Illumination area</td><td class="align_center">~15 m</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Experimental parameters of the preliminary test for the first screening.</div>

Wireless Communications and Mobile Computing

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Table 2

Table 2: AI-Based W-Band Suspicious Object Detection System for Moving Persons: Two-Stage Walkthrough Configuration and Recognition Optimization 