Chengzhi Ye , Ruoyu Zhang , Changcheng Hu , Lei Yao , Wen Wu
{"title":"DOA estimation for movable antenna array systems under gain and phase errors","authors":"Chengzhi Ye , Ruoyu Zhang , Changcheng Hu , Lei Yao , Wen Wu","doi":"10.1016/j.phycom.2025.102808","DOIUrl":null,"url":null,"abstract":"<div><div>Movable antenna (MA) technology has become a promising technology in the field of wireless communications. By adjusting the spatial position of the antennas in a confined region, more accurate direction-of-arrival (DOA) estimation can be achieved. This paper investigates the phase errors and gain fluctuations induced by the movement of MA during operation. We develop a method for DOA estimation in MA array systems affected by gain and phase errors. This method employs the covariance matrix of the array output signals to accurately estimate gain errors. By leveraging the Hadamard product of the covariance matrix, we extract quantities that are insensitive to phase errors, thereby enabling accurate DOA estimation. In addition, we analyze the impact of antenna positioning at various locations on performance, as well as the effect of movement distance on the antenna. Based on these analyses, we propose a straightforward linear array reconfiguration method. Simulation results indicate that under low signal-to-noise ratio (SNR) conditions, the rearranged array exhibits superior performance compared to traditional array setups.</div></div>","PeriodicalId":48707,"journal":{"name":"Physical Communication","volume":"72 ","pages":"Article 102808"},"PeriodicalIF":2.2000,"publicationDate":"2025-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Physical Communication","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1874490725002113","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
Abstract
Movable antenna (MA) technology has become a promising technology in the field of wireless communications. By adjusting the spatial position of the antennas in a confined region, more accurate direction-of-arrival (DOA) estimation can be achieved. This paper investigates the phase errors and gain fluctuations induced by the movement of MA during operation. We develop a method for DOA estimation in MA array systems affected by gain and phase errors. This method employs the covariance matrix of the array output signals to accurately estimate gain errors. By leveraging the Hadamard product of the covariance matrix, we extract quantities that are insensitive to phase errors, thereby enabling accurate DOA estimation. In addition, we analyze the impact of antenna positioning at various locations on performance, as well as the effect of movement distance on the antenna. Based on these analyses, we propose a straightforward linear array reconfiguration method. Simulation results indicate that under low signal-to-noise ratio (SNR) conditions, the rearranged array exhibits superior performance compared to traditional array setups.
期刊介绍:
PHYCOM: Physical Communication is an international and archival journal providing complete coverage of all topics of interest to those involved in all aspects of physical layer communications. Theoretical research contributions presenting new techniques, concepts or analyses, applied contributions reporting on experiences and experiments, and tutorials are published.
Topics of interest include but are not limited to:
Physical layer issues of Wireless Local Area Networks, WiMAX, Wireless Mesh Networks, Sensor and Ad Hoc Networks, PCS Systems; Radio access protocols and algorithms for the physical layer; Spread Spectrum Communications; Channel Modeling; Detection and Estimation; Modulation and Coding; Multiplexing and Carrier Techniques; Broadband Wireless Communications; Wireless Personal Communications; Multi-user Detection; Signal Separation and Interference rejection: Multimedia Communications over Wireless; DSP Applications to Wireless Systems; Experimental and Prototype Results; Multiple Access Techniques; Space-time Processing; Synchronization Techniques; Error Control Techniques; Cryptography; Software Radios; Tracking; Resource Allocation and Inference Management; Multi-rate and Multi-carrier Communications; Cross layer Design and Optimization; Propagation and Channel Characterization; OFDM Systems; MIMO Systems; Ultra-Wideband Communications; Cognitive Radio System Architectures; Platforms and Hardware Implementations for the Support of Cognitive, Radio Systems; Cognitive Radio Resource Management and Dynamic Spectrum Sharing.