| Title | Approximate ML Decision-Feedback Block Equalizer for Doubly Selective Fading Channels |
| Authors | Song, Lingyang de Lamare, Rodrigo Caiado Hjorungnes, Are Burr, Alister G. |
| Affiliation | Peking Univ, Sch Elect Engn & Comp Sci, Beijing 100871, Peoples R China. Univ York, Dept Elect, York YO10 5DD, N Yorkshire, England. Univ Oslo, UniK Univ Grad Ctr, N-2007 Oslo, Norway. |
| Keywords | Doubly selective fading channels equalization linear minimum mean square error (MMSE) matched filter maximum-likelihood sequence estimation (MLSE) MMSE decision-feedback equalizer (MMSE-DFE) INTERFERENCE SYSTEMS CODES |
| Issue Date | 2009 |
| Publisher | ieee transactions on vehicular technology |
| Citation | IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY.2009,58,(5),2314-2321. |
| Abstract | To effectively suppress intersymbol interference (ISI) at low complexity, in this paper, we propose an approximate maximum-likelihood decision-feedback block equalizer (A-ML-DFBE) for doubly selective (frequency- and time-selective) fading channels. The proposed equalizer design makes efficient use of the special time-domain representation of multipath channels through a matched filter, a sliding window, a Gaussian approximation, and a decision feedback. The A-ML-DFBE has the following features: 1) It achieves a performance that is close that to that of maximum-likelihood sequence estimation (MLSE) and significantly outperforms minimum mean square error (MMSE)-based detectors. 2) It has substantially lower complexity than conventional equalizers. 3) It easily realizes complexity and performance tradeoff by adjusting the length of the sliding window. 4) It has a simple and fixed-length feedback filter. The symbol error rate (SER) is derived to characterize the behavior of the A-ML-DFBE and can also be used to find the key parameters of the proposed equalizer. In addition, we further prove that the A-ML-DFBE obtains full multipath diversity. |
| URI | http://hdl.handle.net/20.500.11897/152773 |
| ISSN | 0018-9545 |
| DOI | 10.1109/TVT.2008.2009758 |
| Indexed | SCI(E) EI |
| Appears in Collections: | 信息科学技术学院 |
