| 基于线性预测方法的水声信道最小均方误差盲均衡 |
| |
| 引用本文： | 张银兵,赵俊渭,郭业才,李金明.基于线性预测方法的水声信道最小均方误差盲均衡[J].船舶与海洋工程学报,2011,10(1):113-120. |
| |
| 作者姓名： | 张银兵 赵俊渭 郭业才 李金明 |
| |
| 作者单位： | 张银兵,赵俊渭,李金明,Yinbing Zhang,Junwei Zhao,Jinming Li(College of Marine, Northwestern Polytechnical University, Xi'an 710072, China);郭业才,Yecai Guo(College of Electronic and Information Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, China) |
| |
| 基金项目： | Supported by the National Natural Science Foundation of China under Grant No.60372086;the Foundation for the Author of National Excellent Doctoral Dissertation of China under Grant No.200753 |
| |
| 摘 要： | The problem of blind adaptive equalization of underwater single-input multiple-output (SIMO) acoustic channels was analyzed by using the linear prediction method.Minimum mean square error (MMSE) blind equalizers with arbitrary delay were described on a basis of channel identification.Two methods for calculating linear MMSE equalizers were proposed.One was based on full channel identification and realized using RLS adaptive algorithms,and the other was based on the zero-delay MMSE equalizer and realized using LMS and RLS adaptive algorithms,respectively.Performance of the three proposed algorithms and comparison with two existing zero-forcing (ZF) equalization algorithms were investigated by simulations utilizing two underwater acoustic channels.The results show that the proposed algorithms are robust enough to channel order mismatch.They have almost the same performance as the corresponding ZF algorithms under a high signal-to-noise (SNR) ratio and better performance under a low SNR.
|
| 关 键 词： | linear prediction blind equalization channel identification second order statistics MMSE |
| 收稿时间： | 21 January 2004 |
Blind adaptive MMSE equalization of underwater acoustic channels based on the linear prediction method |
| |
| Yinbing Zhang,Junwei Zhao,Yecai Guo,Jinming Li.Blind adaptive MMSE equalization of underwater acoustic channels based on the linear prediction method[J].Journal of Marine Science and Application,2011,10(1):113-120. |
| |
| Authors: | Yinbing Zhang Junwei Zhao Yecai Guo Jinming Li |
| |
| Institution: | (1) Department of Electronics and Communication Engineering, National Institute of Technology, Kurukshetra, 136119, India |
| |
| Abstract: | The problem of blind adaptive equalization of underwater single-input multiple-output (SIMO) acoustic channels was analyzed
by using the linear prediction method. Minimum mean square error (MMSE) blind equalizers with arbitrary delay were described
on a basis of channel identification. Two methods for calculating linear MMSE equalizers were proposed. One was based on full
channel identification and realized using RLS adaptive algorithms, and the other was based on the zero-delay MMSE equalizer
and realized using LMS and RLS adaptive algorithms, respectively. Performance of the three proposed algorithms and comparison
with two existing zero-forcing (ZF) equalization algorithms were investigated by simulations utilizing two underwater acoustic
channels. The results show that the proposed algorithms are robust enough to channel order mismatch. They have almost the
same performance as the corresponding ZF algorithms under a high signal-to-noise (SNR) ratio and better performance under
a low SNR. |
| |
| Keywords: | |
| 本文献已被 CNKI 万方数据 SpringerLink 等数据库收录！ |
|
