| DC 欄位 |
值 |
語言 |
| DC.contributor | 通訊工程學系 | zh_TW |
| DC.creator | 張玳華 | zh_TW |
| DC.creator | Dai-Hua Chang | en_US |
| dc.date.accessioned | 2013-1-4T07:39:07Z | |
| dc.date.available | 2013-1-4T07:39:07Z | |
| dc.date.issued | 2013 | |
| dc.identifier.uri | http://ir.lib.ncu.edu.tw:88/thesis/view_etd.asp?URN=995203027 | |
| dc.contributor.department | 通訊工程學系 | zh_TW |
| DC.description | 國立中央大學 | zh_TW |
| DC.description | National Central University | en_US |
| dc.description.abstract | 智慧型天線使用天線陣列來接收訊號，由於空間中存在著許多不同使用者的傳輸訊號，因此在接收端會收到使用者希望的欲求訊號之外，也會收到包含不同方向入射進天線的干擾訊號，而一般使用波束形成技術解決這個問題，而廣義旁帶消除器(Generalized Sidelobe Canceller,GSC) 將限制最佳化問題轉為等效的無限制問題，可利用其技術對欲求訊號進行可適性調整波束，讓想
要接收的訊號能獲得最大的增益並盡可能去壓抑干擾訊號及雜訊。
而針對GSC 系統對於入射角度預測誤差造的相位誤差很敏感，本篇論文利用狀態估測的方式，利用三種非線性可適性演算法，延展型卡爾曼濾波器(Extented Kalman Filtering,EKF) 、非察覺型卡爾曼濾波器(Unscented Kalman Filtering,UKF)、粒子濾波器(Particle
Filtering,PF) ，利用所設計的決策回授GSC 系統透過可適性的方法解決預測預求訊號入射角假設有一非常小的角度誤差所造成的相位誤差的造成的負面影響。
另外，由於對狀態預測內包含角度的成分，相當於對欲求訊號角度做追蹤，所以本篇論文也設計在欲求訊號的訊號源是移動性的情況下，透過系統去追蹤欲求訊號的入射角度，將追蹤固定的角度轉為追蹤移動的角度，同樣能使系統因相位誤差影響導致負面影響。在系統模擬中，我們設計兩種情況，第一種情況為假設固定訊號源假設有預測角度誤差，分析系統的SINR 與追蹤角度的RMSE
比較。第二種情況為移動訊號源非固定的入射角度，分析系統的SINR 與追蹤角度的RMSE 比較。 | zh_TW |
| dc.description.abstract | The beamforming technology can be used to cancel interference signals coming from different incident angles for a uniform linear antenna array. Some beamforming techniques have been well developed,in which the
generalized sidelobe canceller (GSC) can adaptively adjust
the beamforming pattern for the desired signal to obtain maximum signalto-interference-plus-noise ratio (SINR) and actually, it converts a constrained optimization beamforming problem into an unconstrianted one.
Nevertheless, the GSC technique is very sensitive to the direction-of arrival (DOA) mismatch of the desired signal. In this thesis, we model the DOA mismatch or moreover, the DOA change due to a moving source,into the GSC structure. Using the state-space formulation, three nonlinear
filtering algorithms, i.e., the extended Kalman filter, the unscented Kalman filter, and the particle filter, are developed and compared to solve the DOA mismatch or change problem in a decision feedback (DF) GSC beamforming structure. The actual DOA information is estimated by proposed algorithms and is provided to the GSC for improving SINR. From simulation results under the conditions of a fixed DOA mismatch and the DOA change, the proposed technique outperforms the least mean square(LMS) based DF GSC structure and achieves a nearly optimal SINR performance close to the Wiener solution. | en_US |
| DC.subject | 波束形成技術 | zh_TW |
| DC.subject | 廣義旁帶消除器 | zh_TW |
| DC.subject | 延展型卡爾曼濾波器 | zh_TW |
| DC.subject | 非察覺型卡爾曼濾波器 | zh_TW |
| DC.subject | 粒子濾波器 | zh_TW |
| DC.title | 以非線性濾波方法用於智慧天線系統之移動源天線波束成型接收 | zh_TW |
| dc.language.iso | zh-TW | zh-TW |
| DC.title | Moving Source Beamforming Reception with Nonlinear Filtering Methods for a Smart Antenna System | en_US |
| DC.type | 博碩士論文 | zh_TW |
| DC.type | thesis | en_US |
| DC.publisher | National Central University | en_US |