L
Liangtian Wan
Researcher at Dalian University of Technology
Publications - 89
Citations - 2706
Liangtian Wan is an academic researcher from Dalian University of Technology. The author has contributed to research in topics: MIMO & Direction of arrival. The author has an hindex of 22, co-authored 89 publications receiving 1526 citations. Previous affiliations of Liangtian Wan include Harbin Engineering University & Hainan University.
Papers
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Electronic Noses: From Advanced Materials to Sensors Aided with Data Processing
Wenwen Hu,Liangtian Wan,Yingying Jian,Cong Ren,Ke Jin,Su Xinghua,Xiaoxia Bai,Hossam Haick,Hossam Haick,Ming-Shui Yao,Weiwei Wu +10 more
TL;DR: Three main elements are investigated and presented, with an emphasis on the emerging sensors and algorithm of the artificial neural network in the relevant fields, which is the building block of e‐nose through mimicking the olfactory receptors.
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Assistant Vehicle Localization Based on Three Collaborative Base Stations via SBL-Based Robust DOA Estimation
TL;DR: An assistant vehicle localization method based on direction-of-arrival (DOA) estimation based on a sparse Bayesian learning (SBL)-based robust DOA estimation approach is proposed, which shows the effectiveness and superiority of the proposed method.
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Routing protocols for underwater wireless sensor networks
TL;DR: Existing routing protocols in UWSNs are classified into two categories based on a route decision maker and the performance of existing routing protocols is compared in detail.
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Graph Learning: A Survey
TL;DR: A comprehensive overview on the state-of-the-art of graph learning can be found in this paper, where four categories of existing graph learning methods, including graph signal processing, matrix factorization, random walk, and deep learning are reviewed.
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Polarization Channel Estimation for Circular and Non-Circular Signals in Massive MIMO Systems
TL;DR: The high-accuracy polarization channel estimation for the maximum non-circular rate signal is finally achieved based on the initialized parameter estimation of the polarization channel in the proposed algorithm.