一种基于空-频稀疏的水声目标线谱重构方法  

An approach of reconstructing line spectrum of underwater acoustic targets based on sparse characteristics of spatial angle domain and frequency domain

作　　者：胡金华[1] 徐重阳 袁骏[1] 张卫[1] HU Jinhua;XU Chongyang;YUAN Jun;ZHANG Wei(College of Electronic Engineering,Naval Univ.of Engineering,Wuhan 430033,China)

机构地区：[1]海军工程大学电子工程学院,武汉430033

出　　处：《海军工程大学学报》2023年第1期47-53,共7页Journal of Naval University of Engineering

基　　金：国家部委基金资助项目(30202030701)。

摘　　要：针对短数据量情况下被动声呐目标参数估计的问题,提出了一种波达角-频率联合估计方法,用于解决传统方法频率分辨能力和角度分辨能力不足的问题。该方法根据稀疏重构理论,利用目标在空间域和频域的稀疏特性,通过理论推导建立了空-频联合稀疏重构模型,并使用凸优化方法求解;仿真分析了该方法在不同信噪比条件下,对相邻目标的波达角和频率的估计能力,并使用海上测得数据验证了该方法的有效性。实验结果表明:该方法在短数据量情况下,可以准确估计目标的波达角和频率,并对噪声和相干目标有显著的鲁棒性,可以用于被动声呐探测机动目标。Aiming at the problem of passive sonar target parameter estimation under the condition of short data volume,a joint estimation method of angle of arrival and frequency was proposed to solve the problem of insufficient frequency resolution and angle resolution of traditional methods.According to the sparse reconstruction theory,the sparse properties of the target in the spatial and frequency domains were exploited,and a space-frequency joint sparse reconstruction model was established through theoretical derivation,and the convex optimization method was used to solve the problem.Through simulation experiments,the performance of the method under different signal-to-noise ratios was analyzed,and the ability to estimate the angle of arrival and frequency of adjacent targets was tested.Afterwards,the effectiveness of the method was verified by processing the measured data at sea.The experimental results show that the arrival angle and frequency of the target can be accurately estimated,and the method is significantly robust to noise and coherent targets under the condition of short data volume,and it can thus be used for passive sonar detection of maneuvering targets.

关 键 词：被动声呐 线谱提取 稀疏重构 空-频联合 

分 类 号：TB566[交通运输工程—水声工程]