Radio Frequency Fingerprinting Identification of Few-Shot Wireless Signals Based on Deep Metric Learning

<table class="table-group" id="tab1"><tr><td><table class="table"><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr class="thead"><td class="align_left">Device</td><td class="align_center">Type</td><td class="align_center">Number</td></tr><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr><td class="align_left" rowspan="4">Phone</td><td class="align_center">iPhone 8</td><td class="align_center">2</td></tr><tr><td class="align_center">iPhone 8P</td><td class="align_center">2</td></tr><tr><td class="align_center">Huawei P9</td><td class="align_center">2</td></tr><tr><td class="align_center">Huawei V9</td><td class="align_center">2</td></tr><tr><td class="align_left">IoT</td><td class="align_center">E05-MLE124AP2</td><td class="align_center">18</td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Experimental device parameters.</div>

Wireless Communications and Mobile Computing

tab1

Table 1

Table 1: Radio Frequency Fingerprinting Identification of Few-Shot Wireless Signals Based on Deep Metric Learning 