Résumé
Most second order Single Input Multiple Output (SIMO) identification algorithms identify the global impulse channel response, convolution of an emission filter and a propagation channel. This paper makes an explicit use of this channel structure in a second order algorithm. We present several structured methods exploiting more or less prior informations on the emission filter. Proofs of convergence are provided, and simulations show that some knowledge based algorithms greatly improve over classical blind algorithms, even in the case where the knowledge is partial.
| langue originale | Anglais |
|---|---|
| Pages (de - à) | 2901-2904 |
| Nombre de pages | 4 |
| journal | ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings |
| Volume | 5 |
| Les DOIs | |
| état | Publié - 1 janv. 1999 |
| Evénement | Proceedings of the 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP-99) - Phoenix, AZ, USA Durée: 15 mars 1999 → 19 mars 1999 |
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