低信噪比条件下基于联合概率互联的水声信道分辨及滤波算法研究  

Research on Underwater Acoustic Channel Resolution and Filtering Algorithm Based on Joint Probability Interconnection under Low SNR

作　　者：富宇 蒲定 吴杰 FuYu;Pu Ding;Wu Jie(College of Underwater Acoustic Engineering,Harbin Engineering University,Harbin 150001;CNOOC Deepwater Development Ltd.,Zhuhai 519050)

机构地区：[1]哈尔滨工程大学水声工程学院 [2]中海石油深海开发有限公司

出　　处：《中国新通信》2020年第21期80-83,共4页China New Telecommunications

摘　　要：直接序列扩频通信在水声中具有广泛的应用场景,但水声直扩通信中的扩频码长较短,扩频增益低,导致在低信噪比的背景下,解扩后依然存在很多噪声引起的杂波干扰,对水声信道的信号到达时间,相位,多普勒等参数准确估计造成了极大困扰,并直接决定了在低信噪比条件下水声直扩通信的可行性。为了水声直扩通信在低信噪比的背景下能够拥有较好的稳健性,本文将一种多目标跟踪技术联合概率数据关联(JPDA)算法应用于水声信道的分辨及参数估计中,并利用扩展卡尔曼滤波(EKF)方法对信道参数进行滤波,仿真结果表明,在低信噪比背景下,传统匹配滤波及EKF方法都无法准确估计出信道参数,但是JPDA算法依然具有良好的效果。Direct sequence spread spectrum communication had a wide range of application scenarios in underwater acoustics.For the special characteristic of the underwater acoustics channel,only shorter spreading codes could be selected.After dispreading,it could be disturbed by noise with lower gain to estimate the parameters like arrival time,carrier phase,doppler,etc.This problem would lead to the feasibility of the system under the condition of low signal to noise radio (SNR).In order to be more robust in system,a joint probabilistic data association (JPDA) algorithm of multi-objective tracking technology was applied to the resolution and parameters estimation of underwater acoustic channel,and the extended Kalman filtering (EKF) method was used to filter the channel parameters in this paper.Simulation results show that the traditional matched filtering method or EKF neither can accurate estimate the channel parameters,but JPDA algorithm still has good effect under the background of low SNR.

关 键 词：水声直扩通信系统 联合概率数据关联(JPDA )扩展卡尔曼滤波(EKF) 水声信道分辨及参数估计 

分 类 号：TN914.42[电子电信—通信与信息系统] TN713[电子电信—信息与通信工程]