Blind adaptive multi-user detection for under-ice acoustic communications with mobile interfering users.
The Least Mean Squares Blind Adaptive Multi-user Detection algorithm, the Recursive Least Squares Blind Adaptive Multi-user Detection algorithm, and the Kalman Filter Blind Adaptive Multi-user Detection algorithm, for under-ice communication networks with rising and diving interfering users, are investigated in this paper. Under-ice random asynchronous multi-user communication experiments with rising and diving interfering users were carried out (7 users, 15.7 bit/s per user, 1.2 km under-ice acoustic channels in the Bohai Sea). Good experimental results verified the feasibility and effectiveness of the proposed algorithms in mitigating inter-symbol interference and multiple access interference.
College of Underwater Acoustic Engineering, Harbin Engineering University, Heilongjiang 150001, China yinjingwei@hrbeu.edu.cn.
Jingwei
J
Yin
Communication and Electronic Engineering Institute, Qingdao University of Technology, Shandong 266033, China edit231@163.com.
Guang
G
Yang
School of Electrical, Electronic and Computer Engineering, The University of Western Australia, Western Australia 6009, Australia david.huang@uwa.edu.au, lu.jin@uwa.edu.au.
Defeng
D
Huang
School of Electrical, Electronic and Computer Engineering, The University of Western Australia, Western Australia 6009, Australia david.huang@uwa.edu.au, lu.jin@uwa.edu.au.
Lu
L
Jin
School of Electrical, Computer and Telecommunications Engineering, University of Wollongong, New South Wales 2522, Australia qguo@uow.edu.au.
Qinghua
Q
Guo