{"title":"Speed-Improved Off-Focus Imaging Technique for Real-Aperture Imaging System Based on Wavenumber Spectrum Fusion","authors":"WenRui Zhang;ShiYou Wu;YiCai Ji;Chao Li;GuangYou Fang","doi":"10.1109/LSP.2024.3456635","DOIUrl":null,"url":null,"abstract":"This letter introduces a speed-improved imaging technique for a real-aperture MIMO system engaged in off-focus imaging. The existing off-focus imaging algorithm is time-intensive due to the extensive interpolation and reliance on traditional frequency-domain back-projection algorithms (FDBPA). To address its limitation, the least squares (LS) method is used to fit the non-analytical single-trip history function into a second-order polynomial function. Both MIMO array and the wideband received chirp signal are subdivided into multiple sub-arrays and sub-bands to reconstruct the low-resolution images using FDBPA. The wavenumber spectrums of these low-resolution images are band-limited, thus they can be combined to get the global high-resolution image. Simulation and experiment confirmed the efficacy of the proposed technique called Fusion-BPA. It is a state-of-art, fast algorithm to deal with the non-linear scene imaging problem.","PeriodicalId":13154,"journal":{"name":"IEEE Signal Processing Letters","volume":null,"pages":null},"PeriodicalIF":3.2000,"publicationDate":"2024-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Signal Processing Letters","FirstCategoryId":"5","ListUrlMain":"https://ieeexplore.ieee.org/document/10669811/","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
Abstract
This letter introduces a speed-improved imaging technique for a real-aperture MIMO system engaged in off-focus imaging. The existing off-focus imaging algorithm is time-intensive due to the extensive interpolation and reliance on traditional frequency-domain back-projection algorithms (FDBPA). To address its limitation, the least squares (LS) method is used to fit the non-analytical single-trip history function into a second-order polynomial function. Both MIMO array and the wideband received chirp signal are subdivided into multiple sub-arrays and sub-bands to reconstruct the low-resolution images using FDBPA. The wavenumber spectrums of these low-resolution images are band-limited, thus they can be combined to get the global high-resolution image. Simulation and experiment confirmed the efficacy of the proposed technique called Fusion-BPA. It is a state-of-art, fast algorithm to deal with the non-linear scene imaging problem.
期刊介绍:
The IEEE Signal Processing Letters is a monthly, archival publication designed to provide rapid dissemination of original, cutting-edge ideas and timely, significant contributions in signal, image, speech, language and audio processing. Papers published in the Letters can be presented within one year of their appearance in signal processing conferences such as ICASSP, GlobalSIP and ICIP, and also in several workshop organized by the Signal Processing Society.