Malmö University Publications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
An Improved Separation Method of Multi-Components Signal for Sensing Based on Time-Frequency Representation
Key Laboratory of Radar Imaging and Microwave Photonics (Nanjing University of Aeronauts and Astronauts), Ministry of Education, College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, 210016, China; Key Laboratory of Underwater Acoustic Signal Processing, Ministry of Education, Southeast University, Nanjing, 210096, China.
Key Laboratory of Radar Imaging and Microwave Photonics (Nanjing University of Aeronauts and Astronauts), Ministry of Education, College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, 210016, China; Key Laboratory of Underwater Acoustic Signal Processing, Ministry of Education, Southeast University, Nanjing, 210096, China.
Key Laboratory of Radar Imaging and Microwave Photonics (Nanjing University of Aeronauts and Astronauts), Ministry of Education, College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, 210016, China; Key Laboratory of Underwater Acoustic Signal Processing, Ministry of Education, Southeast University, Nanjing, 210096, China.
Key Laboratory of Radar Imaging and Microwave Photonics (Nanjing University of Aeronauts and Astronauts), Ministry of Education, College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, 210016, China; Key Laboratory of Underwater Acoustic Signal Processing, Ministry of Education, Southeast University, Nanjing, 210096, China.
Show others and affiliations
2019 (English)In: Review of Scientific Instruments, ISSN 0034-6748, E-ISSN 1089-7623, Vol. 6, no 90, article id 064901Article in journal (Refereed) Published
Abstract [en]

In many situations, it is essential to analyze a nonstationary signal for sensing whose components not only overlapped in time-frequency domain (TFD) but also have different durations. In order to address this issue, an improved separation method based on the time-frequency distribution is proposed in this paper. This method computes the time-frequency representation (TFR) of the signal and extracts the instantaneous frequency (IF) of components by a two-dimensional peak search in a limited area in which normalized energy is greater than the set threshold value. If there is more than one peak from a TFR, IFs of components can be determined and linked by a method of minimum slope difference. After the IFs are obtained, the improved time-frequency filtering algorithm is used to reconstruct the component of the signal. We continue this until the residual energy in the TFD is smaller than a fraction of the initial TFD energy. Different from previous methods, the improved method can separate the signal whose components overlapped in TFR and have different time durations. Simulation results have shown the effectiveness of the proposed method.

Place, publisher, year, edition, pages
American Institute of Physics (AIP), 2019. Vol. 6, no 90, article id 064901
Keywords [en]
Signal separation, Multi-component signal, Time-frequency representation, Time-Frequency filtering
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:mau:diva-2574DOI: 10.1063/1.5082776ISI: 000474601100013PubMedID: 31255016Scopus ID: 2-s2.0-85067077434Local ID: 28771OAI: oai:DiVA.org:mau-2574DiVA, id: diva2:1399337
Available from: 2020-02-27 Created: 2020-02-27 Last updated: 2024-06-17Bibliographically approved

Open Access in DiVA

fulltext(2864 kB)155 downloads
File information
File name FULLTEXT01.pdfFile size 2864 kBChecksum SHA-512
16ba5351099880ce8ee2d21aa426aec2093bd8ee6c9e200e4f754fb6f9bcabdbdb9ad33a6e127860f603112883215f5c03a1453d227c062444b16d727ba6febe
Type fulltextMimetype application/pdf

Other links

Publisher's full textPubMedScopushttps://aip.scitation.org/doi/full/10.1063/1.5082776

Authority records

Malekian, Reza

Search in DiVA

By author/editor
Malekian, Reza
By organisation
Department of Computer Science and Media Technology (DVMT)Internet of Things and People (IOTAP)
In the same journal
Review of Scientific Instruments
Engineering and Technology

Search outside of DiVA

GoogleGoogle Scholar
Total: 157 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

doi
pubmed
urn-nbn

Altmetric score

doi
pubmed
urn-nbn
Total: 59 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf