基于谱分析的水下目标定位优化方法研究  

Research on Optimization Method for Underwater Target Localization Based on Spectral Analysis

作　　者：何鹿良 张仁新 HE Luliang;ZHANG Renxin(Zhejiang Zhiqiang Donghai Development Institute Co.,Ltd.,Hangzhou 310012,China;Hangzhou Institute of Applied Acoustics,Hangzhou 310012,China)

机构地区：[1]浙江智强东海发展研究院有限公司,浙江杭州310012 [2]杭州应用声学所,浙江杭州310012

出　　处：《电声技术》2024年第8期32-34,共3页Audio Engineering

摘　　要：针对水下目标定位中存在的传统短时傅里叶变换(Short Time Fourier Transform,STFT)方法的局限性,提出一种基于自适应窗函数的优化方法。通过研究基于谱分析的水下目标定位基本原理,聚焦于STFT的Doppler频移分析方法,并引入自适应窗函数进行优化,同时使用公开数据集对两种方法进行比较分析。实验结果表明,所提方法在速度估计精度和目标定位精度方面均优于传统STFT方法。This article focuses on the traditional Short Time Fourier Transform(STFT)in underwater target localization,The limitations of the STFT method have led to the introduction of an optimization method based on an adaptive window function.Firstly,by studying the basic principle of underwater target localization based on spectral analysis,focusing on the Doppler frequency shift analysis method of STFT,and introducing an adaptive window function for optimization.Finally,a comparative analysis was conducted between the two methods using publicly available datasets.The experimental results show that our method is superior to traditional STFT methods in terms of speed estimation accuracy and target localization accuracy.

关 键 词：谱分析 短时傅里叶变换(STFT) 自适应窗函数 目标定位 

分 类 号：TN929.3[电子电信—通信与信息系统] TP212.9[电子电信—信息与通信工程]