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Adaptive Regularized FOCUSS Algorithm

Xia, T.Q.,Zheng, Y.,Wan, Q.,Wang, X.G.

IEEE National Radar Conference - Proceedings（2007）

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Abstract
The sparse solutions obtained via the regularized version of FOCUSS (focal underdetermined system solver) are governed by the choice of a proper regularization parameter. Based on the principle of adaptive regularization algorithm (ARA) and regularized FOCUSS (R-FOCUSS) algorithm, this paper proposes an adaptive regularized FOCUSS (AR-FOCUSS) algorithm for solving an underdetermined linear system. Simulation results show that AR-FOCUSS is less sensitive to the choice of regularization parameter than R-FOCUSS, and the former outperforms the latter under the same conditions.
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Key words
adaptive signal processing,linear systems,AR-FOCUSS algorithm,adaptive regularization algorithm,adaptive regularized FOCUSS algorithm,focal underdetermined system solver,underdetermined linear system,Adaptive Regularization,FOCUSS,regularization parameter,
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