参数近场信道估计2D-MUSIC算法的性能分析

IF 5.5 3区计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS

IEEE Wireless Communications Letters Pub Date : 2025-03-03 DOI:10.1109/LWC.2025.3547154

Doğa Gürgünoğlu;Alva Kosasih;Parisa Ramezani;Özlem Tuğfe Demir;Emil Björnson;Gábor Fodor

{"title":"参数近场信道估计2D-MUSIC算法的性能分析","authors":"Doğa Gürgünoğlu;Alva Kosasih;Parisa Ramezani;Özlem Tuğfe Demir;Emil Björnson;Gábor Fodor","doi":"10.1109/LWC.2025.3547154","DOIUrl":null,"url":null,"abstract":"In this letter, we address parametric channel estimation in a multi-user multiple-input multiple-output system within the radiative near-field of the base station array with aperture antennas. We investigate a two-dimensional multiple signal classification algorithm (2D-MUSIC) to estimate both the range and the azimuth angles of arrival for the users’ channels, utilizing parametric radiative near-field channel models. We analyze the performance of the algorithm by deriving the Cramér-Rao bound (CRB) for parametric estimation, and its effectiveness is compared against the least squares estimator, which is a non-parametric estimator. Numerical results indicate that the 2D-MUSIC algorithm outperforms the least squares estimator. Furthermore, the results demonstrate that the performance of 2D-MUSIC achieves the parametric channel estimation CRB, which shows that the algorithm is asymptotically consistent.","PeriodicalId":13343,"journal":{"name":"IEEE Wireless Communications Letters","volume":"14 5","pages":"1496-1500"},"PeriodicalIF":5.5000,"publicationDate":"2025-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Performance Analysis of a 2D-MUSIC Algorithm for Parametric Near-Field Channel Estimation\",\"authors\":\"Doğa Gürgünoğlu;Alva Kosasih;Parisa Ramezani;Özlem Tuğfe Demir;Emil Björnson;Gábor Fodor\",\"doi\":\"10.1109/LWC.2025.3547154\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this letter, we address parametric channel estimation in a multi-user multiple-input multiple-output system within the radiative near-field of the base station array with aperture antennas. We investigate a two-dimensional multiple signal classification algorithm (2D-MUSIC) to estimate both the range and the azimuth angles of arrival for the users’ channels, utilizing parametric radiative near-field channel models. We analyze the performance of the algorithm by deriving the Cramér-Rao bound (CRB) for parametric estimation, and its effectiveness is compared against the least squares estimator, which is a non-parametric estimator. Numerical results indicate that the 2D-MUSIC algorithm outperforms the least squares estimator. Furthermore, the results demonstrate that the performance of 2D-MUSIC achieves the parametric channel estimation CRB, which shows that the algorithm is asymptotically consistent.\",\"PeriodicalId\":13343,\"journal\":{\"name\":\"IEEE Wireless Communications Letters\",\"volume\":\"14 5\",\"pages\":\"1496-1500\"},\"PeriodicalIF\":5.5000,\"publicationDate\":\"2025-03-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Wireless Communications Letters\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/10908613/\",\"RegionNum\":3,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"COMPUTER SCIENCE, INFORMATION SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Wireless Communications Letters","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10908613/","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}

引用次数: 0

摘要

在这封信中，我们讨论了在带有孔径天线的基站阵列的辐射近场内的多用户多输入多输出系统中的参数信道估计。我们研究了一种二维多信号分类算法（2D-MUSIC），利用参数化辐射近场信道模型来估计用户信道的到达距离和方位角。通过推导参数估计的cram r- rao界（CRB）来分析算法的性能，并将其与非参数估计的最小二乘估计进行了比较。数值结果表明，2D-MUSIC算法优于最小二乘估计。结果表明，2D-MUSIC的性能达到了参数信道估计CRB，表明该算法是渐近一致的。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Performance Analysis of a 2D-MUSIC Algorithm for Parametric Near-Field Channel Estimation

In this letter, we address parametric channel estimation in a multi-user multiple-input multiple-output system within the radiative near-field of the base station array with aperture antennas. We investigate a two-dimensional multiple signal classification algorithm (2D-MUSIC) to estimate both the range and the azimuth angles of arrival for the users’ channels, utilizing parametric radiative near-field channel models. We analyze the performance of the algorithm by deriving the Cramér-Rao bound (CRB) for parametric estimation, and its effectiveness is compared against the least squares estimator, which is a non-parametric estimator. Numerical results indicate that the 2D-MUSIC algorithm outperforms the least squares estimator. Furthermore, the results demonstrate that the performance of 2D-MUSIC achieves the parametric channel estimation CRB, which shows that the algorithm is asymptotically consistent.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

IEEE Wireless Communications Letters Engineering-Electrical and Electronic Engineering

CiteScore

12.30

自引率

6.30%

发文量

481

期刊介绍： IEEE Wireless Communications Letters publishes short papers in a rapid publication cycle on advances in the state-of-the-art of wireless communications. Both theoretical contributions (including new techniques, concepts, and analyses) and practical contributions (including system experiments and prototypes, and new applications) are encouraged. This journal focuses on the physical layer and the link layer of wireless communication systems.