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DC 欄位 | 值 | 語言 |
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dc.contributor.advisor | 李枝宏(Ju-Hong Lee) | |
dc.contributor.author | Yun-Xiang Li | en |
dc.contributor.author | 李雲翔 | zh_TW |
dc.date.accessioned | 2023-03-19T22:49:27Z | - |
dc.date.copyright | 2022-08-22 | |
dc.date.issued | 2022 | |
dc.date.submitted | 2022-08-04 | |
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dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/85194 | - |
dc.description.abstract | 本篇論文討論在多輸入多輸出雙基地雷達架構下,並當現實環境中有陣列誤差發生時的強健式波束賦型設計。我們提出了基於重建干擾加雜訊自相關矩陣的三種方法。我們的第一種方法首先利用Capon 頻譜估計干擾指引向量的方法,此方法在低信噪比下有很好的表現,但在高信噪比下效能有所下降。接著,我們再次提出第二種方法,此方法利用雜訊子空間來估計干擾指引向量,此方法在高信噪比下此方法擁有良好的效能,但在低信噪比會有比第一種方法略為降低的性能。因此,最後我們提出的第三種方法結合了前兩種方法,實驗結果表明我們的第三種方法融合了前兩者方法的優勢,在實驗中的整個信噪比區間中有著優於其他方法的平均效能表現。 | zh_TW |
dc.description.abstract | We discuss the design of robust beamforming on bistatic MIMO radar architecture and in multiple mismatch scenario. We propose three methods based on IPNC matrix reconstruction. The first method uses the Capon spatial spectrum to estimate the inference steering vectors; the method has great performance at low SNR, but the performance decreases at high SNR. Then, we propose the second method in which the noise subspace spatial spectrum is adopted; the second method perform well at high SNR but poorly at low SNR. Accordingly, the third proposed method combine the preceding ones; the experiment result shows that the third scheme combine the advantages from both schemes and has the superior average performance among the methods in the simulation across a wide range of SNR. | en |
dc.description.provenance | Made available in DSpace on 2023-03-19T22:49:27Z (GMT). No. of bitstreams: 1 U0001-2907202201521300.pdf: 5468497 bytes, checksum: cc195703ee206cca57c21d5bb87f51bf (MD5) Previous issue date: 2022 | en |
dc.description.tableofcontents | 中文摘要與關鍵詞 i ABSTRACT ii 目錄 iii 圖目錄 vii Chapter 1 緒論 1 1.1 研究背景 1 1.2 研究動機 1 1.3 論文貢獻 2 1.4 論文架構 2 Chapter 2 相位陣列之基本概念與數學模型 3 2.1 相位陣列架構 3 2.1.1 概念 3 2.1.2 數學模型 4 2.2 波束賦形 6 2.2.1 MVDR beamformer 6 2.2.2 LCMV beamformer 7 2.3 Capon spatial spectrum 8 2.4 常見非理想環境 9 2.4.1 固定角度誤差 (fixed angle error) 9 2.4.2 位置擾動誤差 10 2.4.3 已知相互耦合效應 (known mutual coupling) 10 2.4.4 未知相互耦合效應 (unknown mutual coupling) 11 2.4.5 增益相位誤差 13 Chapter 3 多輸入多輸出雙基地雷達基本架構與數學模型 14 3.1 多輸入多輸出雙基地雷達系統架構 14 3.2 分離式模型 (separate model) 18 3.3 MIMO雷達下的波束賦形技術 19 3.4 MIMO架構常見非理想環境 20 3.4.1 固定角度誤差 (fixed angle error) 20 3.4.2 位置擾動誤差 20 3.4.3 已知相互耦合效應 21 3.4.4 未知相互耦合效應 22 3.4.5 增益相位誤差 24 Chapter 4 相位陣列下對抗非理想環境之強健性演算法 25 4.1 極大極小值準則 25 4.2 極大極小值準則結合雜訊子空間 26 4.3 基於重建干擾加雜訊自相關矩陣的演算法 27 4.3.1 IPNC-linear 28 4.3.2 IPNC-volume 30 4.3.3 DS-Removal 31 4.3.4 IPNC-Null-Broadening 34 4.4 Proposed Method 36 4.4.1 Optimization-Capon-IPNC (proposed) 36 4.4.2 Optimization-subspace-IPNC (proposed) 37 4.4.3 Optimization-mixed-IPNC (proposed) 39 Chapter 5 MIMO雷達下之強健性演算法 42 5.1 基於重建干擾加雜訊自相關矩陣的演算法 42 5.1.1 IPNC-linear 42 5.1.2 IPNC-volume 43 5.1.3 DS-Removal 45 5.1.4 IPNC-Null-Broadening 49 5.2 Proposed Method 51 5.2.1 Optimization-Capon-IPNC (proposed method 1) 51 5.2.2 Optimization-subspace-IPNC (proposed method 2) 54 5.2.3 Optimization-mixed-IPNC (proposed method 3) 57 Chapter 6 實驗模擬 60 6.1 基礎實驗探討 61 6.1.1 基於修正欲接收指引向量的方法模擬 61 6.1.2 ϵ的選取對Optimization-Capon-IPNC效能影響 62 6.1.3 不同最佳化問題的探討 64 6.2 單一誤差實驗模擬 67 6.2.1 固定角度誤差 67 6.2.2 未知互耦合誤差 70 6.2.3 位置擾動誤差 72 6.2.4 增益相位誤差 75 6.3 二重誤差實驗模擬 78 6.3.1 固定角度誤差+未知互耦合誤差 79 6.3.2 固定角度誤差+位置擾動誤差 81 6.3.3 固定角度誤差+增益相位誤差 83 6.3.4 未知互耦合誤差+位置擾動誤差 86 6.3.5 未知互耦合誤差+增益相位誤差 88 6.3.6 位置擾動誤差+增益相位誤差 90 6.4 三重誤差實驗模擬 93 6.4.1 固定角度誤差+未知互耦合誤差+位置擾動誤差 94 6.4.2 固定角度誤差+未知互耦合誤差+增益相位誤差 97 6.4.3 固定角度誤差+位置擾動誤差+增益相位誤差 100 6.4.4 未知互耦合誤差+位置擾動誤差+增益相位誤差 103 6.5 四重誤差實驗模擬 106 6.5.1 固定角度誤差+未知互耦合誤差+位置擾動誤差+增益相位誤差 107 6.5.2 四重誤差實驗結論 111 Chapter 7 總結與未來方向 112 參考文獻 114 | |
dc.language.iso | zh-TW | |
dc.title | 基於估計干擾指引向量之重建干擾加雜訊自相關矩陣應用於雙基地多輸入多數出雷達系統的強健式波束賦形技術 | zh_TW |
dc.title | Robust Adaptive Beamforming in Bistatic MIMO Radar Based on Interference-Plus-Noise-Covariance Matrix Reconstruction with Interference Steering Vector Estimation | en |
dc.type | Thesis | |
dc.date.schoolyear | 110-2 | |
dc.description.degree | 碩士 | |
dc.contributor.oralexamcommittee | 劉俊麟(Chun-Lin Liu),謝宏昀(Hung-Yun Hsieh) | |
dc.subject.keyword | 多輸入多輸出雙基地雷達,強健式波束賦形,干擾加雜訊自相關矩陣,指引向量估計,凸函數最佳化, | zh_TW |
dc.subject.keyword | MIMO bistatic radar,robust beamforming,interference plus noise covariance matrix,steering vector estimation,convex optimization, | en |
dc.relation.page | 117 | |
dc.identifier.doi | 10.6342/NTU202201865 | |
dc.rights.note | 同意授權(限校園內公開) | |
dc.date.accepted | 2022-08-05 | |
dc.contributor.author-college | 電機資訊學院 | zh_TW |
dc.contributor.author-dept | 電信工程學研究所 | zh_TW |
dc.date.embargo-lift | 2025-08-15 | - |
顯示於系所單位: | 電信工程學研究所 |
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