高分辨率信號DOA估計的跟蹤算法
TRACKING ALGORITHM FOR HIGH-RESOLUTION DOA ESTIMATION
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摘要: 本文論述了一種基于子空間方法的高分辨DOA估計跟蹤問題的解法。該方法基于對采樣數(shù)據(jù)矩陣的廣義奇異值分解(GSVD)。本文討論了GSVD的更新修正算法,在每步計算中只需有限次的運算,即可由前一次的近似分解結果計算出新的近似分解。該過程與指數(shù)加權技術相結合,可以處理信號參數(shù)估計的跟蹤問題。Abstract: A subspace-based tracking algorithm is proposed for high-resolution DOA estimation, using the generalized singular value decomposition (GSVD) of the sample data matrices. A GSVD updating procedure is presented. With this procedure, a new approximate decomposition can be computed from previous one, with finite operations at each iteration. Combined with exponetial weighting technique, this algorithm can solve DOA estimation tracking problems efficiently.
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