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.
Research on Optimization Method for Underwater Target Localization Based on Spectral Analysis
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.
spectral analysisShort Time Fourier Transform(STFT)adaptive window functiontarget location
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