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研究生:丁煒中
研究生(外文):Wei-Jhong Ding
論文名稱:天線陣列下受未知互耦影響的來向角估測新方法
論文名稱(外文):A New Method for DOA Estimation in the Presence of Unknown Mutual Coupling of an Antenna Array
指導教授:蘇柏青
指導教授(外文):Bor-Ching Su
口試委員:馮世邁王晉良吳文榕
口試委員(外文):See-May PhoongChin-Liang WangWen-Rong Wu
口試日期:2014-07-15
學位類別:碩士
校院名稱:國立臺灣大學
系所名稱:電信工程學研究所
學門:工程學門
學類:電資工程學類
論文種類:學術論文
論文出版年:2014
畢業學年度:102
語文別:英文
論文頁數:35
中文關鍵詞:均勻線陣來向角估測互耦空間平滑技術
外文關鍵詞:Uniform linear array (ULA)DOA estimationmutual couplingspatial smoothing technique
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在本論文中,我們研究了互耦影響下的來向角估測問題。重構導引向量的新方法可以在受到未知互耦影響且有大量來源訊號的情況下進行來向角估測。在較高精準度的系統模型中,被提出的新方法的主要優點是來源訊號的可容許數量高於其他方法。被提出的新方法也可以用迭代法同時估測互耦係數和來向角,提高估測精度。不僅如此,即使來源訊號彼此相干,被提出的方法也能透過採用空間平滑技術而運作順利。模擬結果證實了被提出的方法的優點。

In this thesis, we studied the problem of DOA estimation in the presence of mutual coupling. The new proposed method for reconstructing the steering vector can estimate the DOAs in the situation of a large number of source signals with unknown mutual coupling. The main advantage of the proposed
method is that the capacity of the number of source signals is higher than other methods in the case of high accuracy system model. The proposed method can also be extended to an iterative method that estimate the mutual coupling coefficients and the DOAs respectively. Then the estimation accuracy has improved. Moreover, the proposed method can work well by applying the spatial smoothing technique even if source signals are coherent. Simulation results confirm the advantage of the proposed method.

誌謝i
摘要ii
Abstract iii
1 Introductions 1
1.1 DOA Estimation . . . . . . . . . . . . . . . . . . . . 1
1.2 Mutual Coupling . . . . . . . . . . . . . . . . . . . 2
1.3 Related Work . . . . . . . . . . . . . . . . . . . . . 3
1.4 Contributions . . . . . . . . . . . . . . . . . . . . 4
1.5 Thesis Outline . . . . . . . . . . . . . . . . . . . . 5
2 System Model and Problem Formulation 6
2.1 Notations . . . . . . . . . . . . . . . . . . . . . . 6
2.2 System model . . . . . . . . . . . . . . . . . . . . . 6
2.3 Problem Formulation . . . . . . . . . . . . . . . . . 9
3 The DOA Estimation Algorithm in the Presence of Unknown Mutual Coupling 10
3.1 Steering Vector Reconstructing . . . . . . . . . . . 10
3.2 Spatial Smoothing Technique . . . . . . . . . . . . . 12
3.3 Iteration Method for MCC and DOA Estimation . . . . . 14
3.4 Algorithm Complexity Analysis . . . . . . . . . . . . 18
4 Simulation Results 19
5 Conclusions 31
Bibliography 32

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