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Iterative detection for Walsh-Hadamard transformed OFDM

Authors: null Zhongding Lei; null Yan Wu; null Chin Keong Ho; null Sumei Sun; null Ping He; null Yuan Li;

Iterative detection for Walsh-Hadamard transformed OFDM

Abstract

In this paper, an iterative detection method is proposed to reduce the noise enhancement in Walsh-Hadamard transformed (WHT)-OFDM system. The iterative detection starts with conventional detection. The estimation of the received signal at the weakest subcarrier is calculated based on the detection of all data symbols after the hard decision or a combination of hard decision with soft decision, such as utilizing a clipping function. Then the actual received signal at the weakest subcarrier is replaced by the estimated signal and the conventional detection is applied repeatedly to replace the next weakest signal until all subcarriers are replaced. Through replacing the real subcarrier signal with the less noisy estimated signal one by one, iteratively, we can reduce the noise amplification significantly and smoothly. It is seen in the simulations, the bit error rate performance of the iterative detection is much better than that of the conventional detection for either WHT-OFDM system or OFDM system.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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Average
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