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计算机工程 ›› 2013, Vol. 39 ›› Issue (4): 105-108. doi: 10.3969/j.issn.1000-3428.2013.04.025

• 移动互联与通信技术 • 上一篇    下一篇

水声系统中的优化均衡技术研究

赵旦峰,廖 希,钱晋希   

  1. (哈尔滨工程大学信息与通信工程学院,哈尔滨 150001)
  • 收稿日期:2012-04-28 出版日期:2013-04-15 发布日期:2013-04-12
  • 作者简介:赵旦峰(1961-),男,教授、博士生导师,主研方向:通信与信号处理,高性能编码调制;廖 希、钱晋希,博士研究生
  • 基金资助:
    中央高校基本科研业务费专项基金资助项目(HEUCF100814)

Research on Optimal Equalization Technology in Underwater Acoustic System

ZHAO Dan-feng, LIAO Xi, QIAN Jin-xi   

  1. (College of Information and Communication Engineering, Harbin Engineering University, Harbin 150001, China)
  • Received:2012-04-28 Online:2013-04-15 Published:2013-04-12

摘要: 针对水声通信系统传输频率低、速率慢、带宽受限且多径干扰严重等问题,设计一种水声系统优化均衡技术。将LDPC码、直接序列扩频和DQPSK技术相结合,采用LDPC-DQPSK软判决译码方案克服传统硬判决误码率高的缺陷,并依据水声信道的特点,研究LMS算法和RLS算法在不同方案下的系统误码率性能。实验结果证明,该技术能够在较低的信噪比条件下改善系统误码率,节省传输带宽。

关键词: LDPC_DQPSK技术, 水声系统, 自适应均衡, LMS算法, RLS算法

Abstract: Aiming at the problems of the characteristics of low transmission frequency and rate, limited bandwidth and strong multi-path effect in underwater acoustic communication, optimal equalization technology in underwater acoustic system is designed. It combines LDPC code, direct-sequence spread spectrum and DQPSK. And LDPC-DQPSK based on soft decision decoding is a method to overcome high error rate performance of traditional hard decision. LMS and RLS algorithm are investigated, analysing the system BER performance of different adaptive equalization scheme based on the characteristics of underwater acoustic channel. Experimental results show that the proposed underwater acoustic system can obtain improved error rate in lower SNR, saving the transmission bandwidth.

Key words: LDPC_DQPSK technology, underwater acoustic system, adaptive equalization, LMS algorithm, RLS algorithm

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