一种新颖的水声信道参数估计算法

doi:10.3969/j.issn.0372-2112.2019.02.036

电子学报 ›› 2019, Vol. 47 ›› Issue (2): 509-512.DOI: 10.3969/j.issn.0372-2112.2019.02.036

一种新颖的水声信道参数估计算法

张行¹, 常颖¹, 宋康², 李春国¹, 杨绿溪¹

1. 东南大学水声信号处理教育部重点实验室, 江苏南京 210096;
2. 青岛大学电子信息学院, 山东青岛 266071

收稿日期:2017-04-10 修回日期:2018-06-27 出版日期:2019-02-25
- 通讯作者:
- 李春国
- 作者简介:
- 张行女,1992年9月生于安徽广德,东南大学硕士生,主要研究方向为水声信号处理.E-mail:220150713@seu.edu.cn;常颖女,1994年5月生于江苏扬州,东南大学硕士生,主要研究方向为水声信号处理.E-mail:119709443@qq.com;宋康男,1986年9月生于山东青岛,青岛大学讲师,主要研究方向为MIMO无线通信.E-mail:sk@qdu.edu.cn;杨绿溪 男,1964年生于安徽桐城,东南大学教授,博士生导师,主要研究方向为通信信号处理.E-mail:lxyang@seu.edu.cn
- 基金资助:
- 国家973重点基础研究发展计划 (No.2013CB336600）; 国家自然科学基金 (No.61671144，No.61521061）; 国家863高技术研究发展计划 (No.2014AA01A704）

A Novel Parameter Estimation Algorithm for Underwater Acoustic Channels

ZHANG Xing¹, CHANG Ying¹, SONG Kang², LI Chun-guo¹, YANG Lu-xi¹

1. Key Laboratory of Underwater Acoustic Signal Processing of Ministry of Education, Southeast University, Nanjing, Jiangsu 210096, China;
2. School of Electronic and Information Engineering, Qingdao University, Qingdao, Shandong 266071, China

Received:2017-04-10 Revised:2018-06-27 Online:2019-02-25 Published:2019-02-25
- Supported by:
- National Program on Key Basic Research Project of China (973 Program) (No.2013CB336600); National Natural Science Foundation of China (No.61671144, No.61521061); National High-tech R&D Program of China (863 Program) (No.2014AA01A704)

摘要/Abstract

摘要： 宽带水声信道通常被建模为多扩展多时延（MSML）信道，不同路径的多普勒扩展不同给信道参数估计带来了挑战.本文提出一种新颖的MSML信道参数估计算法，称之为改进的粒子群优化（MPSO）算法.该算法创建一个多径列表来记录局部最优粒子的位置和适应度值，并用于迭代中粒子速度的更新.算法结束时，根据多径列表的记录值，可以同时估计出每一径的多普勒扩展、时延和幅度参数.仿真结果表明：MPSO算法的参数估计精度优于匹配追踪（MP）算法和分数阶傅里叶变换（FrFT）算法.

关键词: 水声通信, 参数估计, 多扩展多时延信道, 粒子群优化算法

Abstract: The wideband underwater acoustic multipath channels are usually modeled as a multi-scale multi-lag(MSML)channel.Different paths possess different Doppler scales which brings great challenge to channel parameter estimation.In this paper,we propose a novel algorithm for parameter estimation of MSML channels,which is called modified particle swarm optimization(MPSO)algorithm.This algorithm creates a multi-path list to record positions and fitness values of particles which are local best(lbests),and uses these lbests to update particles' velocities at each iteration.At the end of the algorithm,the Doppler scale,the time delay and the amplitude can be estimated simultaneously for each path according to the multi-path list.Simulation results show that,the MPSO algorithm outperforms both the matching pursuit(MP)algorithm and the fractional Fourier transform(FrFT)algorithm in estimation accuracy.

Key words: underwater acoustic communication, parameter estimation, multi-scale multi-lag (MSML) channel, particle swarm optimization (PSO) algorithm

中图分类号:

TN911.7

张行, 常颖, 宋康, 等. 一种新颖的水声信道参数估计算法[J]. 电子学报, 2019, 47(2): 509-512.

ZHANG Xing, CHANG Ying, SONG Kang, et al. A Novel Parameter Estimation Algorithm for Underwater Acoustic Channels[J]. Acta Electronica Sinica, 2019, 47(2): 509-512.

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一种新颖的水声信道参数估计算法

A Novel Parameter Estimation Algorithm for Underwater Acoustic Channels

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