| Full text | |
| Author(s): |
Total Authors: 2
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| Affiliation: | [1] Univ Sao Paulo, Dept Elect Syst Engn, Escola Politecn, BR-05508900 Sao Paulo - Brazil
[2] Univ Carlos III Madrid, Dept Signal Theory & Commun, Leganes 28911 - Spain
Total Affiliations: 2
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| Document type: | Journal article |
| Source: | IEEE TRANSACTIONS ON SIGNAL PROCESSING; v. 61, n. 5, p. 1171-1182, MAR 2013. |
| Web of Science Citations: | 16 |
| Abstract | |
Blind equalizers avoid the transmission of pilot sequences, allowing a more efficient use of the channel bandwidth. Normally, after a first rough equalization is achieved, it is necessary to switch these equalizers to a decision-directed (DD) mode to reduce the steady-state mean-square error (MSE) to acceptable levels. The selection of an appropriate MSE threshold for switching between the blind and the DD modes is critical to obtain a good overall performance; however, this is not an easy task, since it depends on several factors such as the signal constellation, the communication channel, or the signal-to-noise ratio. In this paper, we propose an equalization scheme that adaptively combines a blind and a DD equalizers running in parallel. The combination is itself adapted in a blind manner, and as a result the overall scheme can automatically switch between the component filters, avoiding the need to set the transition MSE level a priori. The performance of our proposal is illustrated both analytically and through an extensive set of simulations, where we show its advantages with respect to existing hard-and soft-switching equalization schemes. (AU) | |
| FAPESP's process: | 11/13581-6 - Combinations of adaptive filters and techniques of machine learning |
| Grantee: | Magno Teófilo Madeira da Silva |
| Support Opportunities: | Scholarships abroad - Research |