{"title":"基于运动策略的扩展和差分共阵设计:基于CADiS阵列的非圆信号DOA估计","authors":"Xiaolong Li, Xin Lai, Xiaofei Zhang","doi":"10.1016/j.sigpro.2025.110293","DOIUrl":null,"url":null,"abstract":"<div><div>Recently, the use of moving arrays for direction of arrival (DOA) estimation has garnered significant attention. Nevertheless, research on the application of moving arrays for DOA estimation of non-circular (NC) signals remains scarce. Coprime array with displaced subarray (CADiS) has gained considerable attention due to its large aperture and low mutual coupling characteristics. In this paper, we first investigate the expression for the sum coarray (SCA) generated by array motion. Based on the hole distribution in the CADiS configuration, we then propose a hole-free motion strategy. This method effectively fills all holes in the difference coarray (DCA) and SCA, resulting in a hole-free sum and difference coarray (SDCA). Furthermore, we propose a simplified array motion strategy to achieve hole-free SDCA with only single-step motion, and provide the closed-form expression for the maximum achievable uniform degrees of freedom (uDOFs). Finally, we demonstrate the superiority of the proposed methods in comparison to other arrays in terms of uDOFs, DOA estimation performance of NC signals, angular resolution, and the number of identifiable sources.</div></div>","PeriodicalId":49523,"journal":{"name":"Signal Processing","volume":"239 ","pages":"Article 110293"},"PeriodicalIF":3.6000,"publicationDate":"2025-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Extended sum and difference coarray design via motion strategies: Enhanced DOA estimation for non-circular signals with CADiS arrays\",\"authors\":\"Xiaolong Li, Xin Lai, Xiaofei Zhang\",\"doi\":\"10.1016/j.sigpro.2025.110293\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Recently, the use of moving arrays for direction of arrival (DOA) estimation has garnered significant attention. Nevertheless, research on the application of moving arrays for DOA estimation of non-circular (NC) signals remains scarce. Coprime array with displaced subarray (CADiS) has gained considerable attention due to its large aperture and low mutual coupling characteristics. In this paper, we first investigate the expression for the sum coarray (SCA) generated by array motion. Based on the hole distribution in the CADiS configuration, we then propose a hole-free motion strategy. This method effectively fills all holes in the difference coarray (DCA) and SCA, resulting in a hole-free sum and difference coarray (SDCA). Furthermore, we propose a simplified array motion strategy to achieve hole-free SDCA with only single-step motion, and provide the closed-form expression for the maximum achievable uniform degrees of freedom (uDOFs). Finally, we demonstrate the superiority of the proposed methods in comparison to other arrays in terms of uDOFs, DOA estimation performance of NC signals, angular resolution, and the number of identifiable sources.</div></div>\",\"PeriodicalId\":49523,\"journal\":{\"name\":\"Signal Processing\",\"volume\":\"239 \",\"pages\":\"Article 110293\"},\"PeriodicalIF\":3.6000,\"publicationDate\":\"2025-09-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Signal Processing\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0165168425004074\",\"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}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Signal Processing","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0165168425004074","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}
Extended sum and difference coarray design via motion strategies: Enhanced DOA estimation for non-circular signals with CADiS arrays
Recently, the use of moving arrays for direction of arrival (DOA) estimation has garnered significant attention. Nevertheless, research on the application of moving arrays for DOA estimation of non-circular (NC) signals remains scarce. Coprime array with displaced subarray (CADiS) has gained considerable attention due to its large aperture and low mutual coupling characteristics. In this paper, we first investigate the expression for the sum coarray (SCA) generated by array motion. Based on the hole distribution in the CADiS configuration, we then propose a hole-free motion strategy. This method effectively fills all holes in the difference coarray (DCA) and SCA, resulting in a hole-free sum and difference coarray (SDCA). Furthermore, we propose a simplified array motion strategy to achieve hole-free SDCA with only single-step motion, and provide the closed-form expression for the maximum achievable uniform degrees of freedom (uDOFs). Finally, we demonstrate the superiority of the proposed methods in comparison to other arrays in terms of uDOFs, DOA estimation performance of NC signals, angular resolution, and the number of identifiable sources.
期刊介绍:
Signal Processing incorporates all aspects of the theory and practice of signal processing. It features original research work, tutorial and review articles, and accounts of practical developments. It is intended for a rapid dissemination of knowledge and experience to engineers and scientists working in the research, development or practical application of signal processing.
Subject areas covered by the journal include: Signal Theory; Stochastic Processes; Detection and Estimation; Spectral Analysis; Filtering; Signal Processing Systems; Software Developments; Image Processing; Pattern Recognition; Optical Signal Processing; Digital Signal Processing; Multi-dimensional Signal Processing; Communication Signal Processing; Biomedical Signal Processing; Geophysical and Astrophysical Signal Processing; Earth Resources Signal Processing; Acoustic and Vibration Signal Processing; Data Processing; Remote Sensing; Signal Processing Technology; Radar Signal Processing; Sonar Signal Processing; Industrial Applications; New Applications.