| GUO Liting (郭里婷),ZHOU Lichao,PING Shiyao,SHI Changwei,KANG Peng,DU Weiqing,CHEN Pingping.[J].高技术通讯(英文),2025,31(3):238~245 |
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| Low-complexity channel estimation and LMS-based tracking scheme for uplink SCMA-OFDM systems |
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| DOI：10. 3772 / j. issn. 1006-6748. 2025. 03. 003 |
| 中文关键词: |
| 英文关键词: channel estimation, channel tracking, least mean square, uplink, sparse code multiple access, orthogonal frequency division multiplexing |
| 基金项目: |
| Author Name | Affiliation | | GUO Liting (郭里婷) | (School of Physics and Information Engineering,Fuzhou University,Fuzhou 350108,P.R.China) | | ZHOU Lichao | | | PING Shiyao | | | SHI Changwei | | | KANG Peng | | | DU Weiqing | | | CHEN Pingping | |
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| 中文摘要: |
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| 英文摘要: |
| Channel state information (CSI) is very important to sparse code multiple access combined with orthogonal frequency division multiplexing ( SCMA-OFDM) systems for data detection. The main goal of this paper is to tackle the computational complexity and pilot overhead issues when estimating and tracking the channel frequency response of each user in uplink SCMA-OFDM systems. To this end, a new binary pilot structure is first designed to realize the initial channel estimation with significantly reduced computational complexity. Then, a channel tracking method is proposed to update the channel estimation in time-varying channels, which exploits a modified least mean square (LMS) technique with the feedback from the detector. Simulation results show that the proposed pilot structure can provide accurate channel estimation results. Moreover, the average bit error rate (BER) performance of the modified LMS algorithm can approach that of a detector with perfect CSI within 2 dB at the normalized Doppler frequency up to 6 × 10-6. |
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