Two-parameter adjustable underwater acoustic channel equalization algorithm

被引：0

作者：

机构：

[1] Key Laboratory of Underwater Acoustic Communication and Marine Information Technology, Ministry of Education, Xiamen University, Xiamen 361005, Fujian

来源：

Li, F.-L. (fanglanli@126.com) | 1600年 / China Ordnance Industry Corporation卷 / 34期

关键词：

Adaptive equalization; Information processing; Shallow water acoustic channel; Two-parameter adjustable least mean square equalization algorithm;

D O I：

10.3969/j.issn.1000-1093.2013.06.011

中图分类号：

学科分类号：

摘要：

The shallow water acoustic channel is characterized as a complex time, space and frequency-variant channel with several negative factors, e. g. narrow band, high ambient noise, multipath distortion and polytropic multipath time delay which pose serious difficulty for the underwater acoustic communication. A novel two-parameter adjustable least mean square (LMS) equalization algorithm is presented based on the classic parallel filter banks LMS (PFB-LMS) algorithm. The new algorithm enables hybrid adjustment of step-size and tap-length so that the sensitivity of step-size and tap-length parameter selections is alleviated. Simulation results show that the new algorithm outperforms the traditional LMS and PFB-LMS algorithms in parameter robustness under time varying channels.

引用

页码：726 / 731

页数：5

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