摘要
针对在水声强干扰环境下目标回波多普勒频移估计困难的问题,本文利用信号的稀疏性,使用了一种基于稀疏分解的运动目标多普勒频移估计方法,该方法根据回波信号的内在特性建立过完备原子库,将信号在原子库上进行分解,再使用正交匹配追踪算法重构信号,得到回波频率参数的估计,与发射信号频率参数作比较,进而得到回波多普勒频移的估计。通过数值仿真,证明该方法具有较高的估计精度和较强的抗噪声性能。能够较好适用于低信噪比下的回波多普勒频移估计。
Aiming at the difficulty of estimating the target echo Doppler frequency shift in the environment with strong underwater acoustic interference,by making use of the sparsity of the signal,we propose a method for estimating the Doppler frequency shift of the moving target based on sparse decomposition.This method is to build the overcomplete atomic library based on the intrinsic characteristics of echo signals,and decompose the signal on the atomic library,and then reconstruct the signal with the orthogonal matching tracking algorithm,obtaining an estimate of the echo frequency parameter.And then,an estimate of the echo Doppler frequency shift is obtained.The numerical simulation proves that the method has higher estimation accuracy and stronger anti-noise performance.It can be better applied to echo Doppler frequency shift estimation under low signal-to-noise ratio.
作者
生雪莉
穆梦飞
殷敬伟
杨超然
刘婷
SHENG Xueli;MU Mengfei;YIN Jingwei;YANG Chaoran;LIU Ting(Acoustic Science and Technology Laboratory,Harbin Engineering University,Harbin 150001,China;Key Laboratory of Marine Information Acquisition and Security(Harbin Engineering University),Ministry of Industry and Information Technology,Harbin 150001,China;College of Underwater Acoustic Engineering,Harbin Engineering University,Harbin 150001,China)
出处
《哈尔滨工程大学学报》
EI
CAS
CSCD
北大核心
2020年第10期1429-1435,共7页
Journal of Harbin Engineering University
基金
国家自然科学基金项目(51979061,51779061)
国家重点研究开发计划(2018YFC1405902).
关键词
稀疏分解
正交匹配追踪
水下运动目标
多普勒频移估计
sparse decomposition
orthogonal matching tracing
underwater moving target
Doppler shift estimation
