Probe Selection and Power Weighting in Multiprobe OTA Testing: A Neural Network-Based Approach

<table class="table-group" id="tab4"><tr><td><table class="table"><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr class="thead"><td class="align_left">Channel</td><td class="align_center">CDL-A</td><td class="align_center">CDL-B</td><td class="align_center">CDL-C</td></tr><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr><td class="align_left">Multishot</td><td class="align_center">0.0366</td><td class="align_center">0.0760</td><td class="align_center">0.0301</td></tr><tr><td class="align_left">Proposed</td><td class="align_center">0.0347</td><td class="align_center">0.0669</td><td class="align_center">0.0251</td></tr><tr class="table-tr"><td colspan="4"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>RMSD results under multicluster cases.</div>

International Journal of Antennas and Propagation

tab4

Table 4

Table 4: Probe Selection and Power Weighting in Multiprobe OTA Testing: A Neural Network-Based Approach 