Zobrazeno 1 - 10
of 110
pro vyhledávání: '"Yaan Li"'
Autor:
Chunyan CHENG, Yaan LI
Publikováno v:
水下无人系统学报, Vol 31, Iss 3, Pp 388-397 (2023)
For tracking underwater moving targets in real time, a bearings-only tracking system with a stationary double observation station was investigated. By combining the extended Kalman filter(EKF) algorithm and the unscented Kalman filter(UKF) algorithm,
Externí odkaz:
https://doaj.org/article/0081fada33314d528dd3b4eb93d34b43
Publikováno v:
IET Radar, Sonar & Navigation, Vol 16, Iss 9, Pp 1415-1433 (2022)
Abstract Compared with the traditional tracking problem, the underwater 3‐D passive manoeuvring target tracking faces the following challenging problems: (1) Since the signal propagation delay is varying and unknown, the relationship between the tw
Externí odkaz:
https://doaj.org/article/b98e65bc7a7946a8b1ea0d868720afb6
Publikováno v:
Entropy, Vol 25, Iss 12, p 1654 (2023)
The transition from a chaotic to a periodic state in the Duffing chaotic oscillator detection system is crucial in detecting weak signals. However, accurately determining the critical threshold for this transition remains a challenging problem. Tradi
Externí odkaz:
https://doaj.org/article/181268b616614bbf9e940b9e36176399
Publikováno v:
Entropy, Vol 25, Iss 8, p 1175 (2023)
Entropy quantification approaches have gained considerable attention in engineering applications. However, certain limitations persist, including the strong dependence on parameter selection, limited discriminating power, and low robustness to noise.
Externí odkaz:
https://doaj.org/article/4cef742bf9e641a6a6b9aee2edb90c21
Publikováno v:
Journal of Marine Science and Engineering, Vol 10, Iss 5, p 576 (2022)
This paper considers the problem of tracking a uniform moving source using noisy bearing measurements obtained from a distant observer. Observer trajectory optimization plays a central role in this problem, with the objective to minimize the estimati
Externí odkaz:
https://doaj.org/article/b2825f0598364caf9367acebbc6016bb
Publikováno v:
Journal of Marine Science and Engineering, Vol 10, Iss 4, p 536 (2022)
Due to the complex ocean propagation environments, the underwater acoustic (UWA) multipath channel often exhibits block sparse time-varying features, and while dynamic compressed sensing (DCS) can mitigate the time-varying effects of the UWA channel,
Externí odkaz:
https://doaj.org/article/631e7ec2f91a45fc9622775c793fad38
Publikováno v:
Journal of Marine Science and Engineering, Vol 10, Iss 2, p 155 (2022)
Underwater acoustic imaging employs a special form of array which includes numerous transducer elements to achieve beamforming. Although a large-scale array can bring high imaging resolution, it will also cause difficulties in hardware complexity and
Externí odkaz:
https://doaj.org/article/f98f3104d5924268858dc3b18cf64cb7
Publikováno v:
Journal of Marine Science and Engineering, Vol 9, Iss 11, p 1203 (2021)
Shallow water is a complex sound propagation medium, which is affected by the varying spatial–temporal ocean environment. Taking this complexity into account, the classical processing techniques of source localization and environmental inversion ma
Externí odkaz:
https://doaj.org/article/23d3c30003904fac8212c120826b2ed1
Publikováno v:
Entropy, Vol 23, Iss 9, p 1124 (2021)
In this study, an application of deep learning-based neural computing is proposed for efficient real-time state estimation of the Markov chain underwater maneuvering object. The designed intelligent strategy is exploiting the strength of nonlinear au
Externí odkaz:
https://doaj.org/article/d3af72fd31564820a5b35852a8ae13d1
Publikováno v:
Complexity, Vol 2019 (2019)
Measuring complexity of observed time series plays an important role for understanding the characteristics of the system under study. Permutation entropy (PE) is a powerful tool for complexity analysis, but it has some limitations. For example, the a
Externí odkaz:
https://doaj.org/article/b139eb50520d492b8878d5879719370b