Optimal SP Training and Precoding Designs for Channel Estimation and Symbol Detection in MIMO-OFDM Systems

Nguyen N. Tran; Dang L. Khoa; Vo T. Tri; Ha X. Nguyen

doi:10.31130/jst.2015.9

Nguyen N. Tran University of Science, VNU-HCM
Dang L. Khoa University of Science, VNU-HCM
Vo T. Tri University of Science, VNU-HCM
Ha X. Nguyen Tan Tao University

DOI: https://doi.org/10.31130/jst.2015.9

Abstract

Based on convex programming for optimization, a closed-from solution of superimposed (SP) training on linearly precoded data for jointly optimal channel estimation and symbol detection is proposed in this paper for MIMO-OFDM systems. The newly designed method not only efficiently identifies the frequency-selective fading channel but also effectively enhances the symbol detection. Although linearly precoding technique is employed and protects the transmitted data over the multi-path MIMO wireless channels, the precoded data is always arithmetically added to the training sequence to prevail transmission bandwidth. Analytical and numerical results confirm that the proposed design efficiently estimates the wireless fading channel and effectively recovers the source data symbols.

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