Abstract
An adaptive support vector machine decision feedback equalizer (ASVM-DFE) based on the least square support vector machine (LS-SVM) is proposed, it solves linear system iteratively with less computational intensity. An adaptive non-singleton fuzzy support vector machine decision feedback equalizer (ANSFSVM- DFE) is also presented, it adopts the non-singleton fuzzy Gaussian kernel function with similar characteristic of pre-filter and is modified with a space transformation based approach. Simulations under nonlinear time variant channels show that ASVM-DFE and ANSFSVM-DFE perform very well on nonlinear equalization and ANSFSVM-DFE acts especially well in resisting abrupt interference.
| Original language | English |
|---|---|
| Pages (from-to) | 452-461 |
| Number of pages | 10 |
| Journal | Journal of Systems Engineering and Electronics |
| Volume | 22 |
| Issue number | 3 |
| DOIs | |
| State | Published - Jun 2011 |
Keywords
- Decision feedback
- Equalizer
- Fuzzy system
- Non-singleton
- Support vector machine (SVM)
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