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研究生: 陳清良
Chen, Ching-Liang
論文名稱: 延遲都普勒通訊中基於改進式梯度搜尋之正交時頻空間與低密度奇偶檢查碼並列聯合接收機
Parallel Joint Receiver for OTFS and LDPC Systems Based on Improved Gradient Search in Delay-Doppler Communications
指導教授: 張名先
Chang, Ming-Xian
學位類別: 碩士
Master
系所名稱: 電機資訊學院 - 電腦與通信工程研究所
Institute of Computer & Communication Engineering
論文出版年: 2026
畢業學年度: 114
語文別: 中文
論文頁數: 65
中文關鍵詞: 正交時頻空間低密度奇偶檢查碼並列聯合接收機改進式梯度搜尋干擾消除低複雜度檢測
外文關鍵詞: OTFS, LDPC, Joint Iterative Receiver, GSA, Soft-PIC, Low-Complexity
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  • 在現代高移動性通訊中,嚴重的都普勒頻移會引發載波間干擾(ICI),大幅削弱傳統 OFDM 系統的效能。為此,正交時頻空間(OTFS)技術透過將符號映射至延遲-都普勒域,將劇烈的時變衰落轉化為穩定且稀疏的二維通道,以獲取全分集增益。同時,結合低密度奇偶檢查碼(LDPC)優異的糾錯能力與軟資訊處理特性,能進一步大幅提升系統整體的傳輸可靠度。
    然而,OTFS 複雜的二維干擾使傳統偵測器面臨複雜度瓶頸,且單向分離的「偵測-解碼」架構無法有效反饋真實干擾狀態。為突破限制,本論文提出專為 OTFS 設計的低複雜度改進式梯度搜尋演算法(IGSA)。該演算法以 LMMSE 作為初始估計,利用差分度量構建離散梯度,沿最優方向進行解空間探索,能以極低運算成本鎖定可靠估計值。
    為進一步提升系統效能,本研究提出結合 IGSA 與 LDPC 的並列聯合接收機架構。該架構透過雙向並列疊代交換軟性資訊(Soft Information),並利用解碼器回傳的外部資訊(Extrinsic Information)執行軟干擾消除(Soft-PIC),有效降低殘餘干擾並動態引導 IGSA 逃離局部最佳解。模擬證實,在高速移動環境下,此架構在維持低運算複雜度的同時,展現出顯著優於傳統分離式設計的位元錯誤率(BER)表現,為未來通訊系統提供了極具競爭力的解決方案。

    Orthogonal Time Frequency Space (OTFS) modulation is a promising technology for 6G high-mobility networks, effectively addressing the doubly-selective fading challenges of traditional OFDM systems. However, the severe two-dimensional inter-symbol interference (2D-ISI) in the delay-Doppler domain significantly complicates receiver design. Existing detection algorithms, including linear methods, Message Passing Algorithms (MPA), and conventional Gradient Search Algorithms (GSA), struggle with either high computational complexity, severe error floors caused by short cycles, or the inability to output soft information for channel decoding.
    To overcome these limitations, this thesis proposes a low-complexity joint iterative receiver named the Improved Gradient Search Algorithm-Parallel Joint (IGSA-PJ). The IGSA frontend introduces an intelligent pruning mechanism and local recursive updates to drastically reduce the search complexity from a polynomial O(D^2) to a linear O(D). Furthermore, a Soft-PIC mechanism is developed to convert the hard decisions into reliable soft log-likelihood ratios (LLRs). By integrating interleaving mechanisms and dynamic trust weights, the proposed architecture establishes a robust bi-directional soft information exchange between the physical layer detector and the Low-Density Parity-Check (LDPC) decoder.
    Simulation results under a 300 km/h Extended Vehicular A (EVA) multipath channel demonstrate the superiority of the proposed IGSA-PJ receiver. Compared to conventional MPA-PJ architectures, the IGSA-PJ successfully avoids divergence and completely eliminates the error floor phenomenon, maintaining a consistent bit-error-rate (BER) descent. Ultimately, this architecture achieves excellent detection performance with significantly reduced computational costs, providing a highly practical physical layer solution for future high-mobility communications.

    摘要 I 英文延伸摘要 II 誌謝 XII Table of Contents XIII List of Tables XVI List of Figures XVII Chapter 1. 緒論 1 1.1 研究背景 1 1.2 研究動機 1 1.3 研究目的 2 1.4 論文架構 3 Chapter 2. 系統模型 4 2.1 OTFS 收發系統模型 4 2.1.1 高移動性通道模型 4 2.1.2 OTFS 傳送與接收 6 2.1.3 系統輸入與輸出模型 7 2.2 LDPC 編碼技術 9 2.2.1 LDPC 編碼原理與校驗矩陣 9 2.2.2 對數概似比 (LLR) 之定義 11 2.3 GSA 演算法原理 12 2.3.1 實數域模型轉化與目標函數 12 2.3.2 階層式差分度量搜尋 13 2.3.3 高階搜尋演算法 14 Chapter 3. 傳統接收機之效能瓶頸 15 3.1 線性偵測演算法之侷限 15 3.1.1 計算複雜度與矩陣求逆之挑戰 16 3.1.2 非線性增益缺失與效能飽和現象 16 3.2 傳統梯度搜尋之收斂困境 17 3.3 傳統分離式接收機之架構侷限 19 Chapter 4. 改進式 GSA 並列聯合接收機 21 4.1 改進式GSA設計 21 4.1.1 能量差與梯度公式 22 4.1.2 全維度搜尋瓶頸 22 4.1.3 候選限縮機制 23 4.1.4 局部遞迴更新 23 4.2 軟資訊提取 (Soft-PIC) 25 4.2.1 並列干擾消除 (PIC) 25 4.2.2 LLR 近似計算 26 4.3 聯合疊代與收斂控制機制 26 4.3.1 先驗訊息融合 26 4.3.2 動態收斂約束 27 4.4 訊息傳遞聯合接收機 (MPA-PJ) 30 4.5 運算複雜度分析 32 4.5.1 傳統演算法之複雜度瓶頸 32 4.5.2 改進式 GSA 之降維優勢 32 4.5.3 乘加運算量總結與比較 33 Chapter 5. 模擬與性能比較 35 5.1 模擬環境與系統參數 35 5.2 未編碼前端偵測器之效能評估 37 5.3 聯合疊代架構與干擾消除分析 38 5.4 系統收斂性與疊代穩定度探討 40 5.5 接收機硬體運算複雜度對比 41 Chapter 6. 結論與未來展望 42 References 44

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