Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Minti Liu"'
Publikováno v:
IET Radar, Sonar & Navigation, Vol 15, Iss 7, Pp 788-795 (2021)
Abstract DOA estimation based on sparse representation in a non‐uniform noise environment is proposed using a tail minimisation technique. The noise‐free covariance matrix is modelled as diagonal and off‐diagonal components relating to incoming
Externí odkaz:
https://doaj.org/article/9e214742270e46509f1113159603b2db
Publikováno v:
Sensors, Vol 22, Iss 11, p 3979 (2022)
The conventional blind source separation independent component analysis method has the problem of low-separation performance. In addition, the basic butterfly optimization algorithm has the problem of insufficient search capability. In order to solve
Externí odkaz:
https://doaj.org/article/7da17926625a460086fc5b01f1ce16a0
Publikováno v:
IEEE Sensors Journal. 23:470-483
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a827c77c6537e7e1b521a76bc2d10125
https://doi.org/10.1109/jsen.2022.3222532
https://doi.org/10.1109/jsen.2022.3222532
Publikováno v:
IET Radar, Sonar & Navigation, Vol 15, Iss 7, Pp 788-795 (2021)
DOA estimation based on sparse representation in a non‐uniform noise environment is proposed using a tail minimisation technique. The noise‐free covariance matrix is modelled as diagonal and off‐diagonal components relating to incoming signals.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8f001bfc3346c1a69624f99e84adb299
https://doi.org/10.1049/rsn2.12086
https://doi.org/10.1049/rsn2.12086
Publikováno v:
4th International Conference on Informatics Engineering & Information Science (ICIEIS2021).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f0c21a1d0e9be84fe799329ff6308c9b
https://doi.org/10.1117/12.2626840
https://doi.org/10.1117/12.2626840
Publikováno v:
2021 CIE International Conference on Radar (Radar).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::701f93cb9f8392acc108ebe7e3521a23
https://doi.org/10.1109/radar53847.2021.10028616
https://doi.org/10.1109/radar53847.2021.10028616