Teng Ma

Dr. Teng Ma

Harbin Engineering University
orcid

Research Focus & Metrics

Academic Career Length

11Years (2016-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 March 2017 in Ocean Engineering
Verified
Journal Article
Closed access
YLYe Li
Ye Li
Teng MaTeng Ma
Teng Ma
PCPengyun Chen
Pengyun Chen
YJYanqing Jiang
Yanqing Jiang
RWRupeng Wang
Rupeng Wang
QZQiang Zhang
Qiang Zhang

8 August 2025 in Engineering
Verified
Journal Article
Open access
DMDong Ma
Dong Ma
LYLi Ye
Li Ye
Teng MaTeng Ma
Teng Ma
APAntónio M. Pascoal
António M. Pascoal

1 August 2020 in ISA Transactions
Verified
Journal Article
Closed access
Teng MaTeng Ma
Teng Ma
LYLi Ye
Li Ye
Yuxin ZhaoYuxin Zhao
Yuxin Zhao
JYJiang Yanqing
Jiang Yanqing
CZCong Zheng
Cong Zheng
XSXu Shuo
Xu Shuo

1 October 2018 in Ocean Engineering
Verified
Journal Article
Closed access
Teng MaTeng Ma
Teng Ma
YLYe Li
Ye Li
RWRupeng Wang
Rupeng Wang
Zheng CongZheng Cong
Zheng Cong
YGYusen Gong
Yusen Gong

25 July 2022 in IEEE Wireless Communications Letters
Verified
Journal Article
Closed access
Xiaojun MeiXiaojun Mei
Xiaojun Mei
DHDezhi Han
Dezhi Han
Nasir SaeedNasir Saeed
Nasir Saeed
HWHuafeng Wu
Huafeng Wu
Teng MaTeng Ma
Teng Ma
JXJiangfeng Xian
Jiangfeng Xian
This letter proposes a robust target localization technique for acoustic underwater wireless sensor networks (UWSNs) that simultaneously experience the stratification effect and the non-line-of-sight (NLOS) bias. Specifically, we develop the range difference (RD)-based majorization minimization expression and its theoretical analysis, which leads to a surrogate function coupling with an iterative form. To figure out the initial estimate of the iteration, the proposed method converts the original localization problem into an RD-based generalized trust-region subproblem (RD-GTRS) after selecting a reference node. Eventually, an RD-based target localization approach (RD-TLA) is presented to iteratively estimate the final location. Simulation results show that the proposed RD-TLA method achieves better localization accuracy compared with other state-of-the-art methods in different scenarios.

1 January 2024 in Applied Ocean Research
Verified
Journal Article
Closed access
TETian Ennong
Tian Ennong
LYLi Ye
Li Ye
Teng MaTeng Ma
Teng Ma
LYLiao Yulei
Liao Yulei
LYLi Yueming
Li Yueming
JCJian Cao
Jian Cao