kth.sePublikationer
Ändra sökning
RefereraExporteraLänk till posten
Permanent länk

Direktlänk
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annat format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annat språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
A Novel Demixing Algorithm for Joint Target Detection and Impulsive Noise Suppression
KTH, Skolan för elektroteknik och datavetenskap (EECS), Intelligenta system, Mikro- och nanosystemteknik.ORCID-id: 0000-0002-3050-7705
KTH, Skolan för elektroteknik och datavetenskap (EECS), Datavetenskap, Nätverk och systemteknik.ORCID-id: 0000-0003-4519-9204
EURECOM, Commun Syst Dept, Biot, F-06904 Sophia Antipolis, France..ORCID-id: 0000-0001-6866-6595
KTH, Skolan för elektroteknik och datavetenskap (EECS), Intelligenta system, Mikro- och nanosystemteknik.ORCID-id: 0000-0003-3339-9137
2022 (Engelska)Ingår i: IEEE Communications Letters, ISSN 1089-7798, E-ISSN 1558-2558, Vol. 26, nr 11, s. 2750-2754Artikel i tidskrift (Refereegranskat) Published
Abstract [en]

This work considers a collocated radar scenario where a probing signal is emitted toward the targets of interest and records the received echoes. Estimating the relative delay-Doppler shifts of the targets allows determining their relative locations and velocities. However, the received radar measurements are often affected by impulsive non-Gaussian noise which makes a few measurements partially corrupted. While demixing radar signal and impulsive noise is challenging in general by traditional subspace-based methods, atomic norm minimization (ANM) has been recently developed to perform this task in a much more efficient manner. Nonetheless, the ANM cannot identify close delay-Doppler pairs and also requires many measurements. Here, we propose a smoothed l(0) atomic optimization problem encouraging both the sparse features of the targets and the impulsive noise. We design a majorization-minimization algorithm that converges to the solution of the proposed non-convex problem using alternating direction method of multipliers (ADMM). Simulations results verify the superior accuracy of our proposed algorithm even for very close delay-Doppler pairs in comparison to ANM with around 40 dB improvement.

Ort, förlag, år, upplaga, sidor
Institute of Electrical and Electronics Engineers (IEEE) , 2022. Vol. 26, nr 11, s. 2750-2754
Nyckelord [en]
Radar, impulsive noise cancellation, compressed sensing, l(0) function, non-convex optimization, atomic norm minimization
Nationell ämneskategori
Signalbehandling
Identifikatorer
URN: urn:nbn:se:kth:diva-322150DOI: 10.1109/LCOMM.2022.3199460ISI: 000881981500051Scopus ID: 2-s2.0-85136894654OAI: oai:DiVA.org:kth-322150DiVA, id: diva2:1715643
Anmärkning

QC 20221202

Tillgänglig från: 2022-12-02 Skapad: 2022-12-02 Senast uppdaterad: 2023-11-01Bibliografiskt granskad

Open Access i DiVA

Fulltext saknas i DiVA

Övriga länkar

Förlagets fulltextScopus

Person

Seidi, MohammadrezaRazavikia, SaeedDaei, SajadOberhammer, Joachim

Sök vidare i DiVA

Av författaren/redaktören
Seidi, MohammadrezaRazavikia, SaeedDaei, SajadOberhammer, Joachim
Av organisationen
Mikro- och nanosystemteknikNätverk och systemteknik
I samma tidskrift
IEEE Communications Letters
Signalbehandling

Sök vidare utanför DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetricpoäng

doi
urn-nbn
Totalt: 121 träffar
RefereraExporteraLänk till posten
Permanent länk

Direktlänk
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annat format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annat språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf