Subspace methods for blind estimation of time-varying FIR channels

  title={Subspace methods for blind estimation of time-varying FIR channels},
  author={Michail K. Tsatsanis and Georgios B. Giannakis},
  journal={IEEE Trans. Signal Processing},
Novel linear algorithms are proposed in this paper for estimating time-varying FIR systems, without resorting to higher order statistics. The proposed methods are applicable to systems where each time-varying tap coefficient can be described (with respect to time) as a linear combination of a finite number of basis functions. Examples of such channels include almost periodically varying ones (Fourier Series description) or channels locally modeled by a truncated Taylor series or by a wavelet… CONTINUE READING
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