Blind adaptive multi-user detection for under-ice acoustic communications with mobile interfering users

Authors

Jingwei Yin, Harbin Engineering University
Guang Yang, Qingdao University
Defeng (David) Huang, University of Western AustraliaFollow
Lu Jin, University of Western Australia
Qinghua Guo, University of WollongongFollow

RIS ID

112160

Publication Details

J. Yin, G. Yang, D. Huang, L. Jin & Q. Guo, "Blind adaptive multi-user detection for under-ice acoustic communications with mobile interfering users," Journal of the Acoustical Society of America, vol. 141, (1) pp. EL70-EL75, 2017.

Abstract

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.