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• W2158855495 abstract "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." @default.
• W2158855495 created "2016-06-24" @default.
• W2158855495 creator A5042488076 @default.
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• W2158855495 date "2002-08-01" @default.
• W2158855495 modified "2023-10-13" @default.
• W2158855495 title "Adaptive linearly constrained inverse QRD-RLS beamforming algorithm for moving jammers suppression" @default.
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• W2158855495 doi "https://doi.org/10.1109/tap.2002.801276" @default.
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