摘要
二维反卷积声图测量中点扩散函数(PSF)的二维移变性导致算法计算量较大,为此提出了一种极坐标系下方位、距离分离降维处理的快速反卷积声图测量方法。该方法将二维移变反卷积运算转换为两次一维反卷积运算,同时利用方位维反卷积具有近似一维空域移不变特点,采用移不变模型进行计算,仅对距离维进行一维移变反卷积运算,从而减少算法的PSF存储空间和计算量。仿真和实验数据处理结果表明,所提方法显著降低了计算量,且与原二维移变模型反卷积声图测量方法的性能相近。
For the huge computational complexity caused by the two-dimensional shift-variant specialty of point spread function(PSF)in two-dimensional deconvoluted acoustic image measurement,this paper proposes a fast algorithm of acoustic image measurement using polar coordinate deconvolution that separates azimuth and distance domain to make a dimension-reduced processing.The proposed method converts the two-dimensional shift-variant deconvolution into two one-dimensional deconvolutions,and utilizes the approximate spatial shift-invariant characteristic of the one-dimensional deconvolution in the azimuth domain at the same time.By selecting the shift-invariant model to realize the deconvolution here,only the shift-variant deconvolution is conducted in the distance domain,thereby reducing the PSF storage space and computational complexity.The results of simulation and experimental data processing show that the proposed method significantly reduces the computational complexity with the similar performance compared to the original two-dimensional shift-variant deconvolution algorithm.
作者
孙大军
黄天凤
梅继丹
崔文婷
SUN Dajun;HUANG Tianfeng;MEI Jidan;CUI Wenting(National Key Laboratory of Underwater Acoustic Technology,Harbin Engineering University,Harbin 150001;Key Laboratory of Marine Information Acquisition and Security(Harbin Engineering University),Ministry of Industry and Information Technology,Harbin 150001;College of Underwater Acoustic Engineering,Harbin Engineering University,Harbin 150001)
出处
《声学学报》
EI
CAS
CSCD
北大核心
2024年第5期967-978,共12页
Acta Acustica
基金
国家自然科学基金项目(61801140)资助。
关键词
声图测量
无源定位
聚焦波束形成
反卷积快速算法
Acoustic image measurement
Passive localization
Focused beamforming
Fast deconvolution algorithm
