Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Wenchong X"'
Autor:
Silu Cui, Wenchong Xin, Fei Wang, Xiaoliang Shao, Xiaonan Shao, Rong Niu, Feifei Zhang, Yunmei Shi, Bao Liu, Weiying Gu, Yuetao Wang
Publikováno v:
BMC Cancer, Vol 24, Iss 1, Pp 1-13 (2024)
Abstract Background The metabolic tumour area (MTA) was found to be a promising predictor of prostate cancer. However, the role of MTA based on 18F-FDG PET/CT in diffuse large B-cell lymphoma (DLBCL) prognosis remains unclear. This study aimed to elu
Externí odkaz:
https://doaj.org/article/d201584cdc8544a4870ab0f4a203ec0c
Publikováno v:
IET Radar, Sonar & Navigation, Vol 16, Iss 2, Pp 193-207 (2022)
Abstract Space‐time adaptive processing (STAP) methods can provide good clutter suppression potential in airborne radar systems. However, the performance of these methods is limited by the training samples' support in practical applications. To add
Externí odkaz:
https://doaj.org/article/9bd6efb8a90846bdaf36f00553c8f906
Publikováno v:
IEEE Access, Vol 10, Pp 51850-51861 (2022)
Conformal array antenna is one of the important development directions of airborne radar in the future. Its advantages include aerodynamic design, larger effective aperture and minimal payload weight etc. However, conformal array antenna usually has
Externí odkaz:
https://doaj.org/article/4aa23ea6ed00475093d83dccc1d957fe
Publikováno v:
IET Radar, Sonar & Navigation, Vol 15, Iss 12, Pp 1656-1669 (2021)
Abstract Traditional space‐time adaptive processing (STAP) suffers from severe performance degradation in dense false target jamming scenarios, especially mainlobe deceptive jamming. To solve this problem, the superimposed stepped frequency (SSF) r
Externí odkaz:
https://doaj.org/article/16db9b26d420498e8b15299a8b41e2a3
Publikováno v:
IET Radar, Sonar & Navigation, Vol 15, Iss 12, Pp 1565-1572 (2021)
Abstract In heterogeneous environments, the snapshot under test (SUT) and the corresponding training samples are usually not independent and identically distributed, which seriously degrades the clutter suppression performance of space‐time adaptiv
Externí odkaz:
https://doaj.org/article/e615d71be8a640f4a1ba72a8c2497f3b
Publikováno v:
Remote Sensing, Vol 15, Iss 17, p 4322 (2023)
Low-frequency bands are an important way to realize stealth target detection for airborne radars. However, in a complex electromagnetic environment; when low-frequency airborne radar operates over land, it will inevitably encounter a lot of unintenti
Externí odkaz:
https://doaj.org/article/f9f29dc80e23437d9cda995a966dfda0
Autor:
Yuanyi Xiong, Wenchong Xie
Publikováno v:
IET Radar, Sonar & Navigation, Vol 15, Iss 9, Pp 1001-1015 (2021)
Abstract Bistatic airborne radar has excellent performance due to the separate transmitter and receiver, but its clutter distribution is usually non‐stationary, which causes the performance of the traditional Space time adaptive processing (STAP) m
Externí odkaz:
https://doaj.org/article/503eb946b1b940b29f213a1c1dcd8b79
Publikováno v:
IEEE Access, Vol 7, Pp 147094-147105 (2019)
End-fire array antenna is a kind of special radar antenna with beam pointing perpendicular to the normal direction of the array. Because of its low profile and directional radiation characteristics, it is especially suitable for blind zone compensati
Externí odkaz:
https://doaj.org/article/c1ed8fc0a1264d2c8a4a988abb60ddc5
Publikováno v:
IEEE Access, Vol 6, Pp 47296-47307 (2018)
Space-time adaptive processing (STAP) for airborne radar has recently been enriched owing to the development of methods based on sparse recovery techniques. These methods have shown advantages over the conventional ones. However, there are still diff
Externí odkaz:
https://doaj.org/article/775666a94ecb4186937c94c23ee4c8ab
Publikováno v:
The Journal of Engineering (2019)
Conventional 3-dimensional (3D) space-time adaptive processing (STAP) has achieved good performance for non-stationary clutter suppression. However, the performance of 3D STAP rapidly degrades when applied to heterogeneous clutter environment due to
Externí odkaz:
https://doaj.org/article/de5262adcb1d4eeea2c499067833e08f