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New algorithm for rational subspace estimation based on cascadable adaptive lossless filters

机译:基于级联自适应无损滤波器的Rational子空间估计的新算法

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摘要

In a previous work, a time domain algorithm was proposed to adaptively estimate a rational and orthonormal spanning of a rational subspace. However, its convergence was not proved and it seems that asymptotic misbehavior may occur. A new algorithm is proposed, for which satisfactory convergence properties hold. It provides robustness with regard to the signal model and shows an especially good asymptotical performance for small SNR.
机译:在先前的工作中,提出了一种时域算法,以自适应地估计理性子空间的理性和正常跨越。但是,它不会证明其趋同,似乎可能发生渐近的不端行为。提出了一种新的算法,其令人满意的收敛性能保持。它提供了对信号模型的鲁棒性,并为小型SNR表示特别良好的渐近性能。

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