IMPROVED PROPORTIONATE LEAST MEAN SQUARE/FOURTH BASED CHANNEL EQUALIZATION FOR UNDERWATER ACOUSTIC COMMUNICATIONS

被引：0
|
作者：
Tian, Yanan [1 ,2 ,3 ,4 ]
Han, Xiao [1 ,2 ,3 ]
Vorobyov, Sergiy A. [4 ]
Li, Weizhe [1 ,2 ,3 ]
机构：
[1] Harbin Engn Univ, Natl Key Lab Underwater Acoust Technol, Harbin 150001, Peoples R China
[2] Harbin Engn Univ, Key Lab Polar Acoust & Applicat, Minist Educ, Harbin 150001, Peoples R China
[3] Harbin Engn Univ, Coll Underwater Acoust Engn, Harbin 150001, Peoples R China
[4] Aalto Univ, Dept Informat & Commun Engn, Espoo 02150, Finland
来源：
2023 IEEE 9TH INTERNATIONAL WORKSHOP ON COMPUTATIONAL ADVANCES IN MULTI-SENSOR ADAPTIVE PROCESSING, CAMSAP | 2023年
基金：
中央高校基本科研业务费专项资金资助; 中国国家自然科学基金;
关键词：
Underwater acoustic communication; proportional update matrix; sparse level; ALGORITHM;
D O I：
10.1109/CAMSAP58249.2023.10403523
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
An improved proportionate least mean square/fourth (IPLMS/F) equalizer is proposed in this paper, and applied to underwater acoustic communications in real experiment. In addition to improving the performance of least mean squares (LMS) equalizer, the proposed IPLMS/F equalizer maintains the simplicity and stability of LMS. The advantage of the proposed IPLMS/F equalizer is due to introduction of a proportional update matrix. The diagonal elements of this matrix are determined by the equalizer tap magnitudes to improve the sparsity level estimate, and thus, further improve the equalizer performance. The performance of IPLMS/F is verified by applying it to the experimental data from the 9(th) Chinese National Arctic Research Expedition. The results show that IPLMS/F exhibits fastest convergence speed and it has the lowest bit error rate compared with LMS and LMS/F, indicating its effectiveness and reliability in practical applications.
引用
收藏
页码：141 / 145
页数：5
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