A robust past algorithm for subspace tracking in impulsive noise

  title={A robust past algorithm for subspace tracking in impulsive noise},
  author={Shing-Chow Chan and Yu Wen and Ka-Leung Ho},
  journal={IEEE Transactions on Signal Processing},
The PAST algorithm is an effective and low complexity method for adaptive subspace tracking. However, due to the use of the recursive least squares (RLS) algorithm in estimating the conventional correlation matrix, like other RLS algorithms, it is very sensitive to impulsive noise and the performance can be degraded substantially. To overcome this problem, a new robust correlation matrix estimate, based on robust statistics concept, is proposed in this paper. It is derived from the maximum… CONTINUE READING
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