Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Ningyuan SU"'
Autor:
Xiaolong CHEN, Xiaoyang HE, Zhenhua DENG, Jian GUAN, Xiaolin DU, Wei XUE, Ningyuan SU, Jinhao WANG
Publikováno v:
Leida xuebao, Vol 13, Iss 3, Pp 501-524 (2024)
Weak target signal processing is the cornerstone and prerequisite for radar to achieve excellent detection performance. In complex practical applications, due to strong clutter interference, weak target signals, unclear image features, and difficult
Externí odkaz:
https://doaj.org/article/77292bb9860749e282b27ae14596ef17
Publikováno v:
The Journal of Engineering (2019)
Radar moving target detection (MTD) technology is a key technology in the field of radar signal processing. The MTD method of radar has a better performance when applied to uniform motion detection although it has limited performance in other aspects
Externí odkaz:
https://doaj.org/article/dc4d329c4e504a37a766eac03176a243
Publikováno v:
IEEE Geoscience and Remote Sensing Letters. 19:1-5
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::14b48031c6450638182ea9c7f90ec9b3
https://doi.org/10.1109/lgrs.2021.3133473
https://doi.org/10.1109/lgrs.2021.3133473
Publikováno v:
IEEE Sensors Journal. 21:9099-9111
Due to the influence of the complex marine environment, the marine target detection based on statistical theory is difficult to achieve high-performance. Moreover, due to various targets’ motion characteristics, only using a single feature for dete
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0622550e12e786ae61bc8767e381938a
https://doi.org/10.1109/jsen.2021.3054744
https://doi.org/10.1109/jsen.2021.3054744
Publikováno v:
IET Intelligent Transport Systems, Vol 17, Iss 12, Pp 2432-2443 (2023)
Abstract To study the braking process of the train under different adhesion conditions, this paper takes the braking system of a single rail vehicle as the research object. The author establishes a corresponding co‐simulation platform based on MATL
Externí odkaz:
https://doaj.org/article/57d30d43eca44dd78f5975604b5f724d
Publikováno v:
APSIPA
Linear frequency modulation (LFM) signal detection and estimation are important for radar, communication, or spectrum analysis etc.. As the generalized form of Fourier transform (FT), Fractional FT (FRFT) has good energy aggregation ability for LFM s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fe4aa12283047092ca698de033c3197f
https://doi.org/10.1109/apsipaasc47483.2019.9023016
https://doi.org/10.1109/apsipaasc47483.2019.9023016
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9789811365072
CSPS (3)
CSPS (3)
The Doppler spectrums of radar echoes of targets can reflect the change of the instantaneous velocity of targets. Therefore, it can be used for analyzing the motion state of the target and classifying them. Besides, deep learning is widely used in th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9e5dbf4a03821590bf831b9d81769527
https://doi.org/10.1007/978-981-13-6508-9_38
https://doi.org/10.1007/978-981-13-6508-9_38
Publikováno v:
2019 URSI Asia-Pacific Radio Science Conference (AP-RASC).
As the main means of target detection and surveillance, radar is widely used in the field of public safety and defense security. However, due to the complex environment and the complex motion characteristics of the target, the target echo is extremel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ed7496abd9bfeeaa25d355de14b6893c
https://doi.org/10.23919/ursiap-rasc.2019.8738388
https://doi.org/10.23919/ursiap-rasc.2019.8738388
Deep CNN-Based Radar Detection for Real Maritime Target Under Different Sea States and Polarizations
Publikováno v:
Communications in Computer and Information Science ISBN: 9789811379857
ICCSIP (2)
ICCSIP (2)
Maritime target detection, because of the difficulties in the extraction and recognition of target and clutter micro-motion characteristics, has always been one of the difficulties in radar target detection. In this paper, convolutional neural networ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d238609ae358e72a2ba198a322c31510
https://doi.org/10.1007/978-981-13-7986-4_29
https://doi.org/10.1007/978-981-13-7986-4_29
Autor:
Zhangyu Wang, Ningyuan Sun
Publikováno v:
IEEE Access, Vol 11, Pp 63667-63677 (2023)
Recognition of floor plans has been a challenging and popular task. However, existing approaches are struggling to make accurate room-level unified predictions, seriously limiting their visual quality and applicability. In this paper, we propose a no
Externí odkaz:
https://doaj.org/article/8da4197deef2484eb06fa97835f55748