在這篇論文中，我們提出一個方法使用在WCDMA FDD 上鏈系統中，去複合估測使用者其每一個主要的多路徑信號到達的方位和時間延遲。 在我們使用由Zoltowski[2] 所提出的信號處理方法去估測出所謂的使用者空-頻(space-frequency)信號向量之後，我們將使用2D Unitary ESPRIT方法當作我們的估測器，而它可以提供我們封閉解以及將多路徑信號的到達方位-時間延遲（AOA-delay）自動成對的估測出。而因為我們一次只能獲得一組有效的抽樣信號資料，因此我們將使用2D平滑法（2D smoothing）去獲取更多組的抽樣信號資訊。在2D平滑法中，我們將會提出兩種方法：分別為前置-特徵分析2D平滑法（pre-eigenanalysis）以及後置-特徵分析2D平滑法(post-eigenanalysis)。 而我們也將利用此演算法所估測出的信號到達方位（AOA）資訊去對行動台做定位，本篇論文也將把此模擬結果提出來。 In this thesis , we propose an algorithm for joint estimate of the angle of arrival (AOA) and delay of each dominant multipath for the desired user for WCDMA FDD uplink . After we estimate the so-called desired spatio-frequency signal vector by using previously proposed processing scheme [2], we proposed 2D unitary ESPRIT algorithm as our estimator which provides closed-form as well as automatically paired AOA-delay estimates . We efficient have a single snapshot of 2D data and thus required 2D smoothing for extracting multiple snapshots . Two 2D smoothing schemes , pre-eigenanalysis and post-eigenanalysis 2D smoothing , are discussed . Simulation results show that our algorithms can accurately estimate the AOA and delay for each multipath even under “near-far” conditions . The AOA information is useful for source localization for emergency service . The simulation results for determining the location of the mobile station with the estimated parameters are also presented .
