Efficient robust adaptive decision feedback equalizer for large delay sparse channel

doi:10.1109/TCE.2005.1467986

Efficient robust adaptive decision feedback equalizer for large delay sparse channel

2005-05-01

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AI

DOI：10.1109/TCE.2005.1467986

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In this paper, an efficient decision feedback equalizer (DFE) is presented for sparse channels with large delay echoes, which are encountered in many high-speed wireless communication applications. Unlike the conventional DFE, this proposed equalizer considers that the channel is sparse and large number of DFE taps lead to noise accumulation problem. The new method can achieve efficient equalization by setting the active group for equalization taps and clearing the abandoned taps mechanism. As a result, it can both reduce hardware implementation complexity effectively and improve the performance compared to the conventional DFE. Brief analysis about noise accumulation effects in large-scale equalizer and working mechanism description of this effective algorithm exhibits us where the performance gain lies. Simulation results show that this modified DFE exhibits considerable computational savings, faster convergence, and better performance and improved tracking capabilities than the conventional ones. It is quite fit for applications in high-speed systems, such as high definition I television (HDTV) and broadband mobile communication

Keyword:

complexity reduction

decision feedback equalizer

large delay sparse channel

Efficient robust adaptive decision feedback equalizer for large delay sparse channel

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