计算机与现代化Issue(2)：20-28,9.DOI:10.3969/j.issn.1006-2475.2024.02.004
基于稀疏重构的前视声纳成像方法
Front-view Sonar Imaging Method Based on Sparse Reconstruction
摘要
Abstract
The DOA estimation algorithm based on sparse reconstruction can obtain higher-resolution spatial spectrum estimation by strengthening the sparsity of the representation,which is helpful to realize the differentiation of adjacent targets,and a sonar imaging method with sparse reconstruction at each distance is proposed.This method uses the sparsity of the target itself in sonar imaging and the norm constraint in the sparse reconstruction algorithm to obtain higher resolution and ultimately achieve the im-provement of imaging effect.In the simulation and pool experiments,the performance of l1-SVD and SpSF sparse reconstruction algorithms is compared with the traditional azimuth estimation methods MUSIC,CBF,SFW-L21 and NN-SpSF,and the experi-mental results show that the l1-SVD algorithm and SpSF algorithm are better than the traditional methods,with narrower main lobes and lower side lobes,and have a certain suppression effect on background noise.At the same time,two targets that are close to each other can also be well distinguished,indicating a higher resolution.关键词
稀疏重构/方位估计/成像声纳/波束形成Key words
sparse reconstruction/direction-of-arrival estimation/imaging sonar/beamforming分类
信息技术与安全科学引用本文复制引用
徐云艳,郑葳,刘建国,毕杨,郭拓..基于稀疏重构的前视声纳成像方法[J].计算机与现代化,2024,(2):20-28,9.基金项目
国家自然科学基金资助项目(12004293) （12004293）
陕西省自然科学基础研究计划项目(2024JC-YBMS-561) （2024JC-YBMS-561）
陕西省重点研发计划项目(2024GX-YBXM-262) （2024GX-YBXM-262）
