| Summary: | 碩士 === 國立臺灣大學 === 電信工程學研究所 === 89 === Bearing estimation has been an important segment of array signal processing.Bearing estimation is to find out the angles of the sources.Recently,bearing estimation using signal cyclostationarity has been a new topic of great interest.Using signal cyclostationarity ,we can achieve signal-selective bearing estimation. Many estimators have developed ,C-MUSIC、PSB, for example.We study the problems of bearing estimation under non-ideal conditions,i.e.,randomly perturbed array,coherent source,partial coherent source and near-field problem.Those problems will make the performacne of estimators degradation. We proposed the efficient method,I PSB,utilizes the PSB and ITAM algorithms.The proposed method using ITAM algorithm is used to reconstrust ,the Toeplitz structure and Eign-structure, lost in the observed auto-correlation matrix and cyclic auto-correlation matrix under non-ideal conditions.The method will recover the performance of the estimators. Finally,we extend this idea to the situation of estimation 2-D source bearing in the non-ideal enviroment.
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