雙基地多輸入多輸出雷達之聯合DOD和DOA估測

本論文於雙基地(bi-static)多輸入多輸出(MIMO)雷達上提出了基於子空間處理的方法之聯合估測訊號離開的方向(DOD)和到達方向(DOA)，此所提出的方法是基於將二維的(2D)尋向分解成兩個一維的(1D)尋向程序；首先，利用分離出的訊號子空間實施基於旋轉不變性估測(ESPRIT)方法來估測DOD。接著，使用基於雜訊子空間的技術來估測相對應於已經獲得的DOD 角度之DOA 導引向量。最後，基於建構導引向量的觀念，本論文亦提出一求解DOA 入射方向角度的方法，它具有很好的角度估測精準度。此外，目標物的DOD 和其相對應的DOA 將自動完成配對。無論如何，所提出的處理方法不需要實施頻譜峰值搜尋或配對，所提出的處理方法的性能與傳統的ESPRIT和多重訊號分辨(MUSIC) 等方法的性能相比較，它具有更好的角度估測性能，且透過一些模擬結果驗證本論文所提出的方法是有效率的。

This paper deals with joint direction of Following this, the steering vector of DOA corresponding to the estimated DOD is obtained by developing a noise subspace method. Finally, based on the concept of constructing steering vector, this work also presents a technique for finding the incident directional angle of DOA. Furthermore, the DOD and DOA pairing of the targets are given automatically. However, the proposed approach requires no spectral peak searching or pair matching, and it has better angle estimation performance than the conventional methods such as the ESPRIT method and the multiple signal classification (MUSIC) method. Several simulation results are presented to verify the efficiency of this proposed approach. departure (DOD) and direction of arrival (DOA) estimation based on subspace-based approach in bi-static MIMO radar. This approach is based on the decomposition of the two-dimensional (2D) direction finding into double one-dimensional (1D) direction finding procedures. Firstly, the estimation of signal parameters via rotational invariance technique (ESPRIT) method with signal subspace is used to estimate the DOD