Efficient Threshold based non-sample spaced sparse channel estimation in OFDM system
Résumé
This paper addresses the efficient non-sample spaced
sparse channel estimation with a proposed effective threshold.
The goal of this paper is to realize efficient channel estimation
with a few number of pilots and without the prior knowledge
of the channel statistics, noise standard deviation (STD) for
the non-sample spaced sparse channels. To realize this goal, an
effective noise STD estimation method based on the estimation
method proposed in [1] and the delay tracking method proposed
in [2] is developed. With the estimated noise STD, an effective
threshold is obtained for efficient channel taps detection. Both
theoretical analysis and simulation resluts demonstrate that
without the prior knowledge of noise STD, the proposed method
can achieve the approaching channel estimation performance as
the conventional compressed sensing (CS) based method.
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