Adaptive Linearly Constrained Inverse QRD-RLS Beamforming Algorithm for Moving Jammers Suppression
學年 91
學期 1
出版(發表)日期 2002-08-01
作品名稱 Adaptive Linearly Constrained Inverse QRD-RLS Beamforming Algorithm for Moving Jammers Suppression
作品名稱(其他語言)
著者 陳巽璋; Chang, C.Y.
單位 淡江大學電機工程學系
出版者
著錄名稱、卷期、頁數 IEEE Trans. on Antennas and Propagation 50(8), pp.1138-1150
摘要 A general, linearly constrained (LC) recursive least squares (RLS) array-beamforming algorithm, based on an inverse QR decomposition, is developed for suppressing moving jammers efficiently. In fact, by using the inverse QR decomposition-recursive least squares (QRD-RLS) algorithm approach, the least-squares (LS) weight vector can be computed without back substitution and is suitable for implementation using a systolic array to achieve fast convergence and good numerical properties. The merits of this new constrained algorithm are verified by evaluating the performance, in terms of the learning curve, to investigate the convergence property and numerical efficiency, and the output signal-to-interference-and-noise ratio. We show that our proposed algorithm outperforms the conventional linearly constrained LMS (LCLMS) algorithm, and the one using the fast linear constrained RLS algorithm and its modified version.
關鍵字
語言 en
ISSN
期刊性質 國內
收錄於 SCI
產學合作
通訊作者
審稿制度
國別 TWN
公開徵稿
出版型式 ,電子版
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