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Poster De Conférence Année : 2019

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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Dates et versions

hal-02167984 , version 1 (03-07-2019)

Identifiants

  • HAL Id : hal-02167984 , version 1

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Hui Xie, Yide Wang, Guillaume Andrieux. Efficient Threshold based non-sample spaced sparse channel estimation in OFDM system. Fifth Sino-French Workshop on Information and Communication Technologies (SIFWICT 2019), Jun 2019, Nantes, France. ⟨hal-02167984⟩
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