Semi-blind equalization of nonlinear communication channels using transmitter precoding
By taking advantage of the additional information provided by a transmitter precoder, semi-blind approaches are proposed for identification and equalization of the so-called LTI-ZMNL-LTI nonlinear channels, which consist of two linear time invariant (LTI) filters separated by a polynomial type zero...
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| Vydané v: | Conference Record of Thirty-Second Asilomar Conference on Signals, Systems and Computers (Cat. No.98CH36284) Ročník 2; s. 1129 - 1133 vol.2 |
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| Hlavný autor: | |
| Médium: | Konferenčný príspevok.. |
| Jazyk: | English |
| Vydavateľské údaje: |
IEEE
1998
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| Predmet: | |
| ISBN: | 0780351487, 9780780351486 |
| ISSN: | 1058-6393 |
| On-line prístup: | Získať plný text |
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| Shrnutí: | By taking advantage of the additional information provided by a transmitter precoder, semi-blind approaches are proposed for identification and equalization of the so-called LTI-ZMNL-LTI nonlinear channels, which consist of two linear time invariant (LTI) filters separated by a polynomial type zero memory nonlinearity (ZMNL). Identification of the linear subsystems relies on the output second order cyclostationary/stationary statistics, induced in the transmit data by non-redundant periodically time-varying and/or redundant block precoders. It is shown that identification of linear subsystems is robust to channel order overestimation errors, location of channel zeros, and color of additive noise. Assuming that the ZMNL is a one-to-one map, transmitter precoding allows also exact zero-forcing (ZF) linear equalization of LTI-ZMNL-LTI channels, without restrictions on the zeros of the linear subsystems and channel order overestimation errors. |
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| ISBN: | 0780351487 9780780351486 |
| ISSN: | 1058-6393 |
| DOI: | 10.1109/ACSSC.1998.751437 |