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...
Gespeichert in:
| Veröffentlicht in: | IEEE wireless communications letters Jg. 14; H. 9; S. 2803 - 2807 |
|---|---|
| 1. Verfasser: | |
| Format: | Journal Article |
| Sprache: | Englisch |
| Veröffentlicht: |
Piscataway
IEEE
01.09.2025
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Schlagworte: | |
| ISSN: | 2162-2337, 2162-2345 |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| Abstract | 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 to recover its observable sparse signal when measurements are corrupted by outliers. To achieve reliable local signal recovery with limited data access, we propose a distributed reconstruction algorithm that enables collaboration among sensor devices without the need to share individual raw data. The proposed scheme employs a two-stage approach that first recovers the amplitude of the global signal (at a central server) and subsequently estimates the observable nonzero signal entries (at each local device). Our analytic results show that perfect global signal amplitude recovery can be achieved under mild conditions on the support size of sparse outliers and the view blockage level. In addition, the exact reconstruction of locally observed signal components is shown to be attainable in the noise-free case by solving a binary optimization problem, subject to a mild requirement on the structure of the sensing matrix. Computer simulations are provided to illustrate the effectiveness of the proposed scheme. |
|---|---|
| AbstractList | 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 to recover its observable sparse signal when measurements are corrupted by outliers. To achieve reliable local signal recovery with limited data access, we propose a distributed reconstruction algorithm that enables collaboration among sensor devices without the need to share individual raw data. The proposed scheme employs a two-stage approach that first recovers the amplitude of the global signal (at a central server) and subsequently estimates the observable nonzero signal entries (at each local device). Our analytic results show that perfect global signal amplitude recovery can be achieved under mild conditions on the support size of sparse outliers and the view blockage level. In addition, the exact reconstruction of locally observed signal components is shown to be attainable in the noise-free case by solving a binary optimization problem, subject to a mild requirement on the structure of the sensing matrix. Computer simulations are provided to illustrate the effectiveness of the proposed scheme. |
| Author | Yang, Ming-Hsun |
| Author_xml | – sequence: 1 givenname: Ming-Hsun orcidid: 0000-0002-9719-7801 surname: Yang fullname: Yang, Ming-Hsun email: mhyang@ee.ncku.edu.tw organization: Department of Electrical Engineering and the Institute of Computer and Communication Engineering, National Cheng Kung University, Tainan, Taiwan |
| BookMark | eNp9kEtLAzEUhYNUUKt7Fy4CrqfmPTNLqU-oD-prJUMyvaPR6aQmGYv_3khFwYVncy-X890DZwsNOtcBQruUjCgl5cHkYTxihMkRl3mphFxDm4wqljEu5OBn5_kG2gnhhSQpQhktNtHj1Jk-RHxkQ_TW9BFm-PpZB8BTSAd41y1unMcXfRttdm9hicduvvAQgn0HfAlx6fxrgm6gC7Z7wg82PuOrPrYWfNhG641uA-x8zyG6Ozm-HZ9lk6vT8_HhJKtZKWKmDBFMSjMriobPCDEN8LoGKGRZNIZJzahgyjBNhaopyUlDDFPSEKNzQmXNh2h_9Xfh3VsPIVYvrvddiqw4E0UuRCFZcpGVq_YuBA9NtfB2rv1HRUn11WOVeqy-eqy-e0yI-oPUNupoXRe9tu1_4N4KtADwm0MJVzzpE0xCgd0 |
| CODEN | IWCLAF |
| CitedBy_id | crossref_primary_10_1109_LWC_2025_3579645 |
| Cites_doi | 10.1109/TSP.2016.2620109 10.1109/TSP.2017.2771733 10.1109/LWC.2025.3549767 10.1109/LWC.2025.3579645 10.1109/LWC.2023.3254580 10.1109/TCOMM.2017.2746099 10.1109/LWC.2015.2441702 10.1109/MCOM.2018.1700303 10.1109/TSP.2023.3267995 10.1109/TSP.2022.3185892 10.1109/TIT.2023.3316435 10.1109/TSIPN.2017.2686002 10.1109/JSAIT.2020.3039790 10.1109/JSAC.2025.3531528 10.1109/COMST.2019.2953364 10.1017/cbo9780511794308 10.1016/S0166-218X(97)80002-9 10.1109/TIT.2023.3332084 |
| ContentType | Journal Article |
| Copyright | Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2025 |
| Copyright_xml | – notice: Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2025 |
| DBID | 97E RIA RIE AAYXX CITATION 7SP 8FD L7M |
| DOI | 10.1109/LWC.2025.3579645 |
| DatabaseName | IEEE Xplore (IEEE) IEEE All-Society Periodicals Package (ASPP) 1998–Present IEEE Xplore CrossRef Electronics & Communications Abstracts Technology Research Database Advanced Technologies Database with Aerospace |
| DatabaseTitle | CrossRef Technology Research Database Advanced Technologies Database with Aerospace Electronics & Communications Abstracts |
| DatabaseTitleList | Technology Research Database |
| Database_xml | – sequence: 1 dbid: RIE name: IEEE Electronic Library (IEL) url: https://ieeexplore.ieee.org/ sourceTypes: Publisher |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Engineering |
| EISSN | 2162-2345 |
| EndPage | 2807 |
| ExternalDocumentID | 10_1109_LWC_2025_3579645 11036333 |
| Genre | orig-research |
| GrantInformation_xml | – fundername: National Science and Technology Council (NSTC) of Taiwan grantid: 113-2221-E-008-069; 112-2221-E-008-057 funderid: 10.13039/501100020950 |
| GroupedDBID | 0R~ 4.4 5VS 6IK 97E AAJGR AARMG AASAJ AAWTH ABAZT ABQJQ ABVLG AGQYO AGSQL AHBIQ AKJIK AKQYR ALMA_UNASSIGNED_HOLDINGS ATWAV BEFXN BFFAM BGNUA BKEBE BPEOZ EBS EJD IES IFIPE IPLJI JAVBF M43 OCL RIA RIE RNS AAYXX CITATION 7SP 8FD L7M |
| ID | FETCH-LOGICAL-c294t-6b04255bd88f3d00bfe3ccee8598fb25a21426b2a146c1070f0b265b0ba7015c3 |
| IEDL.DBID | RIE |
| ISICitedReferencesCount | 0 |
| ISICitedReferencesURI | http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=001570447700039&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| ISSN | 2162-2337 |
| IngestDate | Mon Nov 10 11:11:38 EST 2025 Sat Nov 29 07:34:33 EST 2025 Tue Nov 18 22:25:20 EST 2025 Wed Sep 17 06:32:48 EDT 2025 |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 9 |
| Language | English |
| License | https://ieeexplore.ieee.org/Xplorehelp/downloads/license-information/IEEE.html https://doi.org/10.15223/policy-029 https://doi.org/10.15223/policy-037 |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c294t-6b04255bd88f3d00bfe3ccee8598fb25a21426b2a146c1070f0b265b0ba7015c3 |
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 |
| ORCID | 0000-0002-9719-7801 |
| PQID | 3248744852 |
| PQPubID | 2040496 |
| PageCount | 5 |
| ParticipantIDs | crossref_primary_10_1109_LWC_2025_3579645 proquest_journals_3248744852 crossref_citationtrail_10_1109_LWC_2025_3579645 ieee_primary_11036333 |
| PublicationCentury | 2000 |
| PublicationDate | 2025-09-01 |
| PublicationDateYYYYMMDD | 2025-09-01 |
| PublicationDate_xml | – month: 09 year: 2025 text: 2025-09-01 day: 01 |
| PublicationDecade | 2020 |
| PublicationPlace | Piscataway |
| PublicationPlace_xml | – name: Piscataway |
| PublicationTitle | IEEE wireless communications letters |
| PublicationTitleAbbrev | LWC |
| PublicationYear | 2025 |
| Publisher | IEEE The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher_xml | – name: IEEE – name: The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| References | ref13 ref12 ref15 ref14 ref11 ref10 ref2 ref1 ref17 ref16 ref18 ref8 ref7 ref9 ref4 ref3 ref6 ref5 |
| References_xml | – ident: ref17 doi: 10.1109/TSP.2016.2620109 – ident: ref18 doi: 10.1109/TSP.2017.2771733 – ident: ref10 doi: 10.1109/LWC.2025.3549767 – ident: ref16 doi: 10.1109/LWC.2025.3579645 – ident: ref4 doi: 10.1109/LWC.2023.3254580 – ident: ref1 doi: 10.1109/TCOMM.2017.2746099 – ident: ref5 doi: 10.1109/LWC.2015.2441702 – ident: ref2 doi: 10.1109/MCOM.2018.1700303 – ident: ref6 doi: 10.1109/TSP.2023.3267995 – ident: ref7 doi: 10.1109/TSP.2022.3185892 – ident: ref15 doi: 10.1109/TIT.2023.3316435 – ident: ref8 doi: 10.1109/TSIPN.2017.2686002 – ident: ref14 doi: 10.1109/JSAIT.2020.3039790 – ident: ref9 doi: 10.1109/JSAC.2025.3531528 – ident: ref11 doi: 10.1109/COMST.2019.2953364 – ident: ref3 doi: 10.1017/cbo9780511794308 – ident: ref12 doi: 10.1016/S0166-218X(97)80002-9 – ident: ref13 doi: 10.1109/TIT.2023.3332084 |
| SSID | ssj0000601218 |
| Score | 2.3703141 |
| Snippet | This letter examines the multi-view compressive phase retrieval problem in a distributed sensor network, where each sensor device, limited by storage and... |
| SourceID | proquest crossref ieee |
| SourceType | Aggregation Database Enrichment Source Index Database Publisher |
| StartPage | 2803 |
| SubjectTerms | 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 |
| Title | Robust Distributed Phase Retrieval for Multi-View Compressive Networked Sensing With Outliers |
| URI | https://ieeexplore.ieee.org/document/11036333 https://www.proquest.com/docview/3248744852 |
| Volume | 14 |
| WOSCitedRecordID | wos001570447700039&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| journalDatabaseRights | – providerCode: PRVIEE databaseName: IEEE Electronic Library (IEL) customDbUrl: eissn: 2162-2345 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0000601218 issn: 2162-2337 databaseCode: RIE dateStart: 20120101 isFulltext: true titleUrlDefault: https://ieeexplore.ieee.org/ providerName: IEEE |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV3PT8IwFG6EeNCDPzGiaHrw4mEw2nXrjgYlHgwS_AEXs6zdq5CQYWDDf9-2G6gxmnjboW2Wfn19r-1734fQBXBIaCy544eCOJ4C4XDQgMTa3Qoq24lqJ1ZsIuj1-GgU9stidVsLAwA2-Qya5tO-5SczmZurspZ2VdSnlFZQJQiColhrfaFiiEWIvc8jbZ84hNJg9Szphq27YUcfBglrUlt8yb65Iaur8mMzth6mu_vPf9tDO2Uoia8K7PfRBqQHaPsLweAhehnMRL7I8LWhxzXKVpDg_lg7LjywSlp6mWEdtWJbhus8T-Admw3C5sYuAfeKHHHd6cHkuaeveDjJxvg-z6ZGQbuGnro3j51bpxRUcCQJvczxhTFRJhLOFU1cVyigUntJzkKuBGGx4V_zBYn19in1udBVriA-E66IAx02SHqEqukshWOEwScK2r6gwhMeABMsgZgoBQHlRNt4HbVW8xvJkm3ciF5MI3vqcMNIIxIZRKISkTq6XPd4K5g2_mhbMwh8tisnv44aKwyj0hYXkQ4ZDcc_Z-Tkl26naMuMXqSONVA1m-dwhjblMpss5ud2mX0AXe3Qig |
| linkProvider | IEEE |
| linkToHtml | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV3JTsMwEB2xScCBtYhCAR-4cAhN7Dh1johFIEpB7BcUxc6YVqpaRFP4fWwnLSAEErccbDny83jG9sx7ALsoMGOpEl4US-qFGqUn0ACSGncrmQoyHWRObKLRaonHx_iqLFZ3tTCI6JLPcN9-urf8rK-G9qqsblwVixhjkzDNw5AGRbnW-ErFUotQd6NHg4h6lLHG6GHSj-vNh0NzHKR8n7nyS_7NETlllR_bsfMxJ4v__LslWCiDSXJQoL8ME9hbgfkvFIOr8HTdl8NBTo4sQa7VtsKMXLWN6yLXTkvLLDRi4lbiCnG9-w6-E7tFuOzYNyStIkvcdLqxme69Z_LQydvkcph3rYZ2Be5Ojm8PT71SUsFTNA5zL5LWSLnMhNAs832pkSnjJwWPhZaUp5aBLZI0NRuoMidDX_uSRlz6Mm2YwEGxNZjq9Xu4DgQjqjGIJJOhDBG55BmmVGtsMEGNlVehPprfRJV841b2opu4c4cfJwaRxCKSlIhUYW_c46Xg2vijbcUi8NmunPwq1EYYJqU1DhITNFqWf8Hpxi_ddmD29PaimTTPWuebMGdHKhLJajCVvw5xC2bUW94ZvG67JfcBYEHT0Q |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Robust+Distributed+Phase+Retrieval+for+Multi-View+Compressive+Networked+Sensing+With+Outliers&rft.jtitle=IEEE+wireless+communications+letters&rft.au=Yang%2C+Ming-Hsun&rft.date=2025-09-01&rft.pub=IEEE&rft.issn=2162-2337&rft.volume=14&rft.issue=9&rft.spage=2803&rft.epage=2807&rft_id=info:doi/10.1109%2FLWC.2025.3579645&rft.externalDocID=11036333 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=2162-2337&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=2162-2337&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=2162-2337&client=summon |