pilot design for sparse channel estimation in large-scale mimo-ofdm system

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ID: 239968
2016
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Ranked #154 of 303 articles by views in american journal of physiology endocrinology and metabolism

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Abstract
The pilot design problem in large-scale multi-input-multioutput orthogonal frequency division multiplexing (MIMO-OFDM) system is investigated from the perspective of compressed sensing (CS). According to the CS theory, the success probability of estimation is dependent on the mutual coherence of the reconstruction matrix. Specifically, the smaller the mutual coherence is, the higher the success probability is. Based on this conclusion, this paper proposes a pilot design algorithm based on alternating projection and obtains a nonorthogonal pilot pattern. Simulation results show that applying the proposed pattern gives the better performance compared to applying conventional orthogonal one in terms of normalized mean square error (NMSE) of the channel estimate. Moreover, the bit error rate (BER) performance of the large-scale MIMO-OFDM system is improved.
Reference Key
xu2016internationalpilot Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Chao Xu;Jianhua Zhang;Mengmeng Liu;Changchuan Yin
Journal american journal of physiology endocrinology and metabolism
Year 2016
DOI
10.1155/2016/6142574
URL
http://dx.doi.org/10.1155/2016/6142574
Keywords
electrical engineering electronics wireless telephone industry nuclear engineeringcellular telephone services industry

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