| JIN Yong (金 勇),XI Bin,YAN Jiayuan,HU Zhentao.[J].高技术通讯(英文),2025,31(4):321~328 |
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| Hybrid-field channel estimation with phase shift in XL-MIMO systems |
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| DOI：10. 3772 / j. issn. 1006-6748. 2025. 04. 001 |
| 中文关键词: |
| 英文关键词: extremely large-scale massive multiple input multiple output, hybrid-field channel estimation, phase shift |
| 基金项目: |
| Author Name | Affiliation | | JIN Yong (金 勇) | (School of Artificial Intelligence, Henan University, Zhengzhou 450046, P. R. China) | | XI Bin | | | YAN Jiayuan | | | HU Zhentao | |
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| 中文摘要: |
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| 英文摘要: |
| Extremely large-scale massive multiple input multiple output (XL-MIMO) is a key enabling technology for future 6th generation mobile communication technology (6G) networks. However,due to challenges such as hardware impairments and multipath effects, the existing channel estimation methods can not effectively deal with the phase shift issues in XL-MIMO communication systems. In this paper, a partially coherent hybrid-field channel model is proposed to effectively account for the phase shift encountered in the received signals. Based on this model, the partially coherent hybrid-field compressive phase retrieval ( PCHF-CPR) algorithm is constructed to address random phase shift during hybrid-field channel estimation. Unlike traditional coherent and non-coherent estimation methods, our approach, not requiring precise phase information, can effectively address the phase shift issues in XL-MIMO communication systems. Simulation results are given to validate the effectiveness of the proposed method and its superiority over existing techniques. |
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