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Apr, 2020
利用深度迁移学习在任意传感器几何结构下进行稀疏数组选择
Sparse Array Selection Across Arbitrary Sensor Geometries with Deep Transfer Learning
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Ahmet M. Elbir, Kumar Vijay Mishra
TL;DR
介绍了一种使用深度迁移学习的方法对传感器阵列进行选择,提高了方向估计的精度,其精度比传统方法高20%左右。
Abstract
Sparse
sensor array selection
arises in many engineering applications, where it is imperative to obtain maximum
spatial resolution
from a limited number of array elements. Recent research shows that computational
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