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Real-Time Subspace Tracking Algorithm Based on Multistage Wiener Filter

机译:基于多级维纳滤波器的实时子空间跟踪算法

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The purpose of this paper is to estimate the interference subspace quickly. The fundamental of Multistage Wiener Filter(MWF) is given. The shortage of the MWF is pointed out and then a new real-time subspace tracking algorithm is propounded. Theoretical analysis and simulation results show that the interference subspace could be tracked quickly by utilized this algorithm.
机译:本文的目的是快速估计干扰子空间。给出了多级维纳滤波器的基本原理。指出了MWF的不足,提出了一种新的实时子空间跟踪算法。理论分析和仿真结果表明,利用该算法可以快速跟踪干扰子空间。

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