预编码增益优化的预编码叠加训练设计

doi:10.3969/j.issn.1001-2400.2018.06.017

Abstract

Abstract: To gain a higher precoding gain of the precoder for the full-rank precoding superimposed training model, the diversity and coding gain of the precoder are derived by pair-wise error probability analysis, with optimization strategies provided. Furthermore, chirp sequence-based full-rank precoding superimposed training is proposed. The proposed scheme adopts chirp sequences to construct the precoder and training sequences, so as to realize orthogonal transmission for data and training sequences and achieve a greater coding gain than the existing scheme with the same performance of channel estimation. Simulation results show that the proposed scheme remarkably improves the performance of symbol detection in high signal noise ratio environment. The precoding superimposed training model constructed by chirp sequences achieves a greater coding gain than that constructed by polyphase sequences.

Key words: channel estimation, coding gain, diversity gain, precoding, superimposed training

CLC Number:

TN911.5

WANG Qingbo, DOU Gaoqi, GAO Jun. Precoding superimposed training design with precoding gain optimization[J].Journal of Xidian University, 2018, 45(6): 99-105.

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Precoding superimposed training design with precoding gain optimization

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