{"title":"A Pseudo-Inverse-Based Hard Thresholding and PSO-Aided Channel Estimation for mmWave MIMO Systems","authors":"Poornima Sriramula;L. Nirmala Devi","doi":"10.1109/LCOMM.2025.3572984","DOIUrl":null,"url":null,"abstract":"Accurate channel estimation is essential for enabling reliable communication in millimeter-wave (mmWave) multiple input multiple output (MIMO) systems. This letter presents a novel approach that combines pseudo-inverse-based hard thresholding (PIHT) with particle swarm optimization (PSO) to enhance the accuracy of channel estimation. The proposed method capitalizes on the faster ability of PIHT to recover sparse channel coefficients with low computational complexity as the initial stage for coarse channel estimation, followed by refinement of the channel estimates using the PSO technique. Through both computational complexity analysis and extensive simulations, the effectiveness of the combined approach is evaluated, demonstrating its potential to improve the accuracy of mmWave massive MIMO channel estimation. It is observed that at lower SNR the presented method is able to achieve reliable channel estimation.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"29 7","pages":"1729-1733"},"PeriodicalIF":3.7000,"publicationDate":"2025-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Communications Letters","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/11014218/","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"TELECOMMUNICATIONS","Score":null,"Total":0}
引用次数: 0
Abstract
Accurate channel estimation is essential for enabling reliable communication in millimeter-wave (mmWave) multiple input multiple output (MIMO) systems. This letter presents a novel approach that combines pseudo-inverse-based hard thresholding (PIHT) with particle swarm optimization (PSO) to enhance the accuracy of channel estimation. The proposed method capitalizes on the faster ability of PIHT to recover sparse channel coefficients with low computational complexity as the initial stage for coarse channel estimation, followed by refinement of the channel estimates using the PSO technique. Through both computational complexity analysis and extensive simulations, the effectiveness of the combined approach is evaluated, demonstrating its potential to improve the accuracy of mmWave massive MIMO channel estimation. It is observed that at lower SNR the presented method is able to achieve reliable channel estimation.
期刊介绍:
The IEEE Communications Letters publishes short papers in a rapid publication cycle on advances in the state-of-the-art of communication over different media and channels including wire, underground, waveguide, optical fiber, and storage channels. 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 communication systems.