{"title":"Improved cylindrical displaced coprime conformal array for 2-D DOA and polarization estimation","authors":"Mingcheng Fu , Zhi Zheng , Wen-Qin Wang","doi":"10.1016/j.dsp.2025.105551","DOIUrl":null,"url":null,"abstract":"<div><div>Recently, sparse conformal arrays have received lots of attention due to its increased array aperture, improved degrees-of-freedom (DOFs) and reduced mutual coupling compared to uniform conformal arrays. In this article, we devise a new sparse conformal array, referred to as the improved cylindrical displaced coprime conformal array (ICDCCA) for two-dimensional (2-D) direction-of-arrival (DOA) and polarization estimation. Unlike the existing sparse conformal arrays, the ICDCCA consists of multiple two-parallel linear arrays, which are constructed by displacing in parallel one subarray in the prototype coprime array and enlarging its inter-sensor spacings. For the ICDCCA configuration, there are closed-form expressions for the sensor positions, and its number of achievable DOFs can be analytically computed, from which the optimum configurations are obtained. Compared with the existing sparse conformal arrays, the proposed array configuration provides a larger array aperture, a higher number of DOFs, as well as less mutual coupling effects. Numerical results demonstrate the superiority of the ICDCCA over several existing sparse conformal arrays.</div></div>","PeriodicalId":51011,"journal":{"name":"Digital Signal Processing","volume":"168 ","pages":"Article 105551"},"PeriodicalIF":3.0000,"publicationDate":"2025-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Digital Signal Processing","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1051200425005731","RegionNum":3,"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
Recently, sparse conformal arrays have received lots of attention due to its increased array aperture, improved degrees-of-freedom (DOFs) and reduced mutual coupling compared to uniform conformal arrays. In this article, we devise a new sparse conformal array, referred to as the improved cylindrical displaced coprime conformal array (ICDCCA) for two-dimensional (2-D) direction-of-arrival (DOA) and polarization estimation. Unlike the existing sparse conformal arrays, the ICDCCA consists of multiple two-parallel linear arrays, which are constructed by displacing in parallel one subarray in the prototype coprime array and enlarging its inter-sensor spacings. For the ICDCCA configuration, there are closed-form expressions for the sensor positions, and its number of achievable DOFs can be analytically computed, from which the optimum configurations are obtained. Compared with the existing sparse conformal arrays, the proposed array configuration provides a larger array aperture, a higher number of DOFs, as well as less mutual coupling effects. Numerical results demonstrate the superiority of the ICDCCA over several existing sparse conformal arrays.
期刊介绍:
Digital Signal Processing: A Review Journal is one of the oldest and most established journals in the field of signal processing yet it aims to be the most innovative. The Journal invites top quality research articles at the frontiers of research in all aspects of signal processing. Our objective is to provide a platform for the publication of ground-breaking research in signal processing with both academic and industrial appeal.
The journal has a special emphasis on statistical signal processing methodology such as Bayesian signal processing, and encourages articles on emerging applications of signal processing such as:
• big data• machine learning• internet of things• information security• systems biology and computational biology,• financial time series analysis,• autonomous vehicles,• quantum computing,• neuromorphic engineering,• human-computer interaction and intelligent user interfaces,• environmental signal processing,• geophysical signal processing including seismic signal processing,• chemioinformatics and bioinformatics,• audio, visual and performance arts,• disaster management and prevention,• renewable energy,