基於Zaddoff-Chu序列之多輸入多輸出低軌道衛星通訊系統聯合載波頻率偏移與通道估測研究;Joint Carrier Frequency Offset and Channel Estimation with Zaddoff-Chu Sequences for MIMO LEO Satellite Communication Systems

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题名:	基於Zaddoff-Chu序列之多輸入多輸出低軌道衛星通訊系統聯合載波頻率偏移與通道估測研究;Joint Carrier Frequency Offset and Channel Estimation with Zaddoff-Chu Sequences for MIMO LEO Satellite Communication Systems
作者:	羅奕恆;Lo, Yi-Heng
贡献者:	通訊工程學系
关键词:	低軌道衛星;多輸入多輸出;載波頻率偏移;LEO;MIMO;Carrier Frequency Offset
日期:	2025-01-20
上传时间:	2025-04-09 17:32:00 (UTC+8)
出版者:	國立中央大學
摘要:	傳統地面網路會受到地形因素等影響，導致其難以達成全球性的覆蓋，為了增強網路覆蓋範圍，以衛星通訊系統搭配地面網路的技術逐漸成為現代趨勢。但低軌道衛星相對於地面終端設備的高移動速度造成嚴重的都卜勒偏移，進而也影響了延遲估測，這使精確的頻率偏移估測變得更加重要。因此本研究於多輸入多輸出（MIMO）低軌道衛星（LEO）通訊系統，利用Zadoff-Chu序列的相關性計算得出峰值，隨後運用這些峰值進行延遲、都卜勒偏移和通道響應的估測，最後通過迭代方法更精確尋找最大峰值，從而提升載波頻率偏移估測的準確性。模擬結果顯示，本文的估測方法可以成功地適用於多輸入多輸出（MIMO）的低軌衛星(LEO)通訊系統中，充分展現多輸入多輸出（MIMO）技術在降低漏檢率(Miss Detection Rate)的優勢且能夠在不同系統配置下達到良好的表現。;Traditional terrestrial networks are affected by geographical factors, making it difficult to achieve global coverage. To enhance network coverage, the combination of satellite communication systems with terrestrial networks is gradually becoming a modern trend. However, the high relative velocity of low earth orbit (LEO) satellites in relation to ground terminal devices causes severe Doppler shifts, which in turn affect delay estimation, making precise frequency offset estimation even more critical. Therefore, this study focuses on a multi-input multi-output (MIMO) LEO satellite communication system, utilizing the correlation calculations of Zadoff-Chu sequences to obtain peak values. These peak values are then used for joint estimation of delay, Doppler shift, and channel response. Finally, an iterative method is employed to more accurately identify the maximum peak value, thereby improving the precision of carrier frequency offset estimation. Simulation results show that the estimation method proposed in this paper is successfully applicable to MIMO LEO satellite communication systems, fully demonstrating the advantages of MIMO technology in reducing the Miss Detection Rate (MDR) and achieving good performance close under different system configurations.
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