On-line DOA Estimation and DOA tracking

• Main Authors: Liu, Sheng-Yao, 劉聖堯
• Other Authors: Yih-Min Chen
• Format: Others
• Language: zh-TW
• Online Access: http://ndltd.ncl.edu.tw/handle/11002937045909250553

碩士 === 元智工學院 === 電機與資訊工程研究所 === 84 === In array signal processing, on-line DOA (direction of arrival) estimation and tracking is very important research field. The conventional algorithms need eigendecomposition to estimate the signal subspace, and need parameter-search tofind the sources' DOA. These cost a lot of computation, especially for large array. About these problems, there are two parts of the solutions; one is conquer the computation needed for eigendecomposition, the other is overcome the computation of parameter-search. For first part, the proposed methods estimate the signal subspace using only linear operations, and can hence be implemented in a very efficient manner. Another new approach for tracking the singal subspace recursively has been proposed. It obtain signal subspace directly by recesived signals, so it need not to compute the correlation matrix firstly. About second part, in this dissertation, the steering vector decomposition algorithm using polynomial-rooting approach is proposed for the sources' DOA estimation. This method can be used in one dimension or two dimension DOA estimationproblems without any constraints in array geometry. Besides, some adaptivesignal processing methods have been employed to track sources' DOA by signal subspace. Furthermore, an adaptive method which track DOA from recesived signals, and it isn't in need of the signal subspace. Computer simulation results are given for illustration.