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An Efficient Blind Decision Feedback Equalizer
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AI
DOI：10.1109/LCOMM.2010.05.092150.png)
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Abstract
En 中文
Efficient and fully blind Decision Feedback Equalizer (DFE) remains an open issue, mainly because of the potential errors in the decision loop. Based on the Weighted Decision Feedback Equalizer (WDFE), our previous work aiming at decreasing the error propagation phenomena, we propose a new blind DFE called Blind Weighted Decision Feedback Equalizer. The main idea of the WDFE was to commute between Linear Recursive Equalizer (LRE) and DFE for the error computation at the decision device. In this paper, we extend this idea in order to commute also both the algorithms and the filtering structure. This commutation is performed softly and blindly.
Keywords:
Adaptive equalizer
blind equalization
blind decision feedback equalizer (DFE)
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