Robust Distributed Phase Retrieval for Multi-View Compressive Networked Sensing With Outliers

This letter examines the multi-view compressive phase retrieval problem in a distributed sensor network, where each sensor device, limited by storage and sensing capabilities, can access only intensity measurements from an unknown part of the global sparse vector. The goal is to enable each sensor t...

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Vydané v:	IEEE wireless communications letters Ročník 14; číslo 9; s. 2803 - 2807
Hlavný autor:	Yang, Ming-Hsun
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Piscataway IEEE 01.09.2025 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Amplitudes Collaboration Data recovery Distributed compressive phase retrieval Indexes multi-view sensing Noise outliers Outliers (statistics) Phase measurement Phase retrieval Sensors Servers Signal reconstruction Sparse matrices Training Vectors Wireless sensor networks
ISSN:	2162-2337, 2162-2345
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