Zobrazeno 1 - 10
of 153
pro vyhledávání: '"Liangtian Wan"'
Publikováno v:
Digital Communications and Networks, Vol 10, Iss 3, Pp 546-556 (2024)
Interconnection of all things challenges the traditional communication methods, and Semantic Communication and Computing (SCC) will become new solutions. It is a challenging task to accurately detect, extract, and represent semantic information in th
Externí odkaz:
https://doaj.org/article/0bff2178ed144fdd807f7eeed8058094
Publikováno v:
Sensors, Vol 24, Iss 18, p 6123 (2024)
With the rapid development of mobile edge computing (MEC) and wireless power transfer (WPT) technologies, the MEC-WPT system makes it possible to provide high-quality data processing services for end users. However, in a real-world WPT-MEC system, th
Externí odkaz:
https://doaj.org/article/df2855df80c64bb6badac461c02c454a
Publikováno v:
IEEE Access, Vol 11, Pp 111875-111887 (2023)
In recent years, radar-based human activity recognition has attracted the interest of a large number of researchers. Many researchers have proposed various effective processing algorithms. However, a good data processing algorithm not only has high r
Externí odkaz:
https://doaj.org/article/36d93be80eaa420085824f2da973864e
Publikováno v:
Sensors, Vol 23, Iss 13, p 6196 (2023)
In the environment of unknown mutual coupling, many works on direction-of-arrival (DOA) estimation with sensor array are prone to performance degradation or even failure. Moreover, there are few literatures on off-grid direction finding using regular
Externí odkaz:
https://doaj.org/article/4634c186a21542a890ecaa88dee04707
Publikováno v:
IEEE Access, Vol 9, Pp 46398-46408 (2021)
Edge computing has a wide range of applications in the Internet of Things (IoT), especially suitable for low latency, high bandwidth, and high reliability. Edge computing enabling IoT can locate the vehicles rapidly with the help of edge computing. T
Externí odkaz:
https://doaj.org/article/4fa66777e778427bb9e0a504479a23f8
Publikováno v:
IEEE Access, Vol 8, Pp 47500-47508 (2020)
In this article, the direction of arrival estimation (DOA) of strictly noncircular sources with unknown mutual coupling is considered for wireless sensor array network (WSAN), and then a joint weighted block sparse recovery algorithm based on weighte
Externí odkaz:
https://doaj.org/article/e4389753c09f4b43988873f042c40770
Publikováno v:
IEEE Access, Vol 8, Pp 188620-188627 (2020)
In this paper, two noniterative direction-of-arrival (DOA) estimation algorithms of noncircular signals in nonuniform noise environment are proposed. Different from the mainstream nonuniform iterative algorithm, the algorithms we proposed in this pap
Externí odkaz:
https://doaj.org/article/0162163e2cad47058af505c2bb301528
Autor:
Yuehao Guo, Xianpeng Wang, Liangtian Wan, Mengxing Huang, Chong Shen, Kun Zhang, Yongqin Yang
Publikováno v:
IEEE Access, Vol 7, Pp 47972-47981 (2019)
This paper investigates the issue of angle and array gain-phase error estimation in multiple-input-multiple-output (MIMO) radar, and a tensor-based angle and gain-phase error estimation scheme is proposed. In our approach, the parallel factor (PARAFA
Externí odkaz:
https://doaj.org/article/121b8cdd0037489f8607d7b06961abc6
Publikováno v:
IEEE Access, Vol 7, Pp 73719-73728 (2019)
In this paper, a novel direction-of-arrival (DOA) estimation algorithm is proposed for noncircular signals with nonuniform noise by using the unitary matrix completion (UMC) technique. First, the proposed method utilizes the noncircular property of s
Externí odkaz:
https://doaj.org/article/f65d82740ea243a2974c56868527dd9d
Publikováno v:
IEEE Access, Vol 7, Pp 168557-168564 (2019)
Direction-of-Arrival (DOA) estimation with sparse non-uniform linear arrays (SNLAs) has recently attracted a growing concern for the reason that more sources than the number of physical sensors can be resolved as compared with the conventional unifor
Externí odkaz:
https://doaj.org/article/6e1cc28f44be466f944cf9975c6a8580