Title: A novel detection algorithm for V-BLAST over frequency-selective channels
Abstract: This paper proposes a novel detection algorithm for V-BLAST over frequency-selective channels,using feedback based equalization decisions.In the algorithm,a type of segmented training is proposed whereby feedback is increased layer by layer according to the signal-to-noise ratio(SNR) in the detected signal of every layer when training in the previous stage finishes.The new algorithm requires neither channel estimation nor evaluation of inverse channel matrices.Furthermore,it is able to adapt to channel changes.Compared to the adaptive MIMO DFE(Multiple Input Multiple Output Decision Feedback Equalization) algorithm,the computational complexity of the proposed algorithm is dramatically less,and its bit-error rate(BER) performance in the case of low SNR is also better.Finally,a simulation compared the effectiveness of the proposed algorithm and the adaptive MIMO DFE algorithm,proving the feasibility of the proposed algorithm.
Publication Year: 2007
Publication Date: 2007-01-01
Language: en
Type: article
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