博碩士論文 109523055 完整後設資料紀錄

DC 欄位 語言
DC.contributor通訊工程學系zh_TW
DC.creator郭晉瑋zh_TW
DC.creatorChin-Wei Kuoen_US
dc.date.accessioned2022-8-29T07:39:07Z
dc.date.available2022-8-29T07:39:07Z
dc.date.issued2022
dc.identifier.urihttp://ir.lib.ncu.edu.tw:88/thesis/view_etd.asp?URN=109523055
dc.contributor.department通訊工程學系zh_TW
DC.description國立中央大學zh_TW
DC.descriptionNational Central Universityen_US
dc.description.abstract在這篇論文中,我們探討了基於Extended ?∞ filter 所設計的載 波頻率偏移估測方法且應用在多重輸入多重輸出之低軌衛星(Low Earth orbit)通訊系統。由於衛星與地面接收站之間的高相對速度所引 起的多普勒偏移會導致接受訊號的失真。因此本文提出基於正交分頻 多工(OFDM)的衛星傳輸適應性通訊演算法進而改善多普勒偏移問題, 並且利用衛星是沿著地球進行圓軌道運動的特性以及多普勒特徵來 進一步更新衛星移動到下一個時間位置時的多普勒值。模擬結果表明, 提出的估測器與擴展卡爾曼濾波器(EKF)相比,由於提出的估測器是 不需要對干擾有任何的了解,因此能夠在非高斯雜訊下以及模型有誤 差的情況中,依然有著良好的估計性能和在有限樣本的情況下能快速 的收斂。以及在均方誤差(mean square error) 的精確度上也能夠貼近 於克拉瑪界線(Cramer-Rao Bound)。zh_TW
dc.description.abstractIn this paper, we investigate the adaptive carrier frequency offset (CFO) estimation method based on the Extended ?∞ filter and maximum likelihood estimation of channel coefficients for MIMO-OFDM in low Earth orbit (LEO) satellite communication system. Since the Doppler shift is caused by the high relative velocity between the satellite and the ground receiving station causes the distortion of the received signal. Consequently, to overcome this problem, this study proposes an adaptive communication algorithm and turbo iteration to make the estimated value be close to the exact value based on MIMO-OFDM for satellite transmission to improve the Doppler effect problem, and further update the Doppler value when the satellite moves to the next time index by using the characteristics that the satellite is moving in a circular orbit along the Earth and the Doppler feature. The simulation results show that the proposed estimator has good performance under model error and Bernoulli Gaussian impulse noise, and can fast convergence in limited sample sizes, also, compared with the Extended Kalman filter (EKF), because the Extended ?∞ filter does not require any information about the interference. The mean square error (MSE) is also near to the Cramer-Rao Bounds (CRBs).en_US
DC.subject擴展H無限濾波器zh_TW
DC.subject載波頻率偏移zh_TW
DC.subject多頻正交分工zh_TW
DC.subject低軌道地球衛星通訊系統zh_TW
DC.subject擴展卡爾曼濾波器zh_TW
DC.subjectExtended H∞ filteren_US
DC.subjectCarrier Frequency Offset (CFO)en_US
DC.subjectOrthogonal frequency division multiplexing (OFDM)en_US
DC.subjectlow earth orbit (LEO) Satellite Communication Systemsen_US
DC.subjectExtended Kalman filter (EKF)en_US
DC.title多重輸入和多重輸出之正交分頻多工的低 軌道衛星通訊系統中基於擴展?∞濾波器的 自適應載波頻率偏移估測研究zh_TW
dc.language.isozh-TWzh-TW
DC.titleAdaptive Carrier Frequency Offset Estimation for MIMO-OFDM in LEO Satellite Communication Systems by Using Extended ?∞ Filteren_US
DC.type博碩士論文zh_TW
DC.typethesisen_US
DC.publisherNational Central Universityen_US

若有論文相關問題,請聯絡國立中央大學圖書館推廣服務組 TEL:(03)422-7151轉57407,或E-mail聯絡  - 隱私權政策聲明