Fast adaptive eigenvalue decomposition: a maximum likelihood approach
Signal Processing
Subspace methods for the blind identification of multichannel FIRfilters
IEEE Transactions on Signal Processing
Fast approximated power iteration subspace tracking
IEEE Transactions on Signal Processing - Part I
Deterministic approaches for blind equalization of time-varyingchannels with antenna arrays
IEEE Transactions on Signal Processing
Subspace methods for blind estimation of time-varying FIR channels
IEEE Transactions on Signal Processing
A subspace algorithm for certain blind identification problems
IEEE Transactions on Information Theory
Hi-index | 0.00 |
A new method is proposed for the blind subspace-based identification of the coefficients of time-varying (TV) single-input multiple-output (SIMO) FIR channels. The TV channel coefficients are represented via a finite basis expansion model, i.e. linear combination of known basis functions. In contrast to earlier related works, the basis functions need not be limited to complex exponentials, and therefore do not necessitate the a priori estimation of frequency parameters. This considerably simplifies the implementation of the proposed method and provides added flexibility in applications. The merits of the proposed technique, including asymptotic consistency, are demonstrated by numerical simulations.