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http://dx.doi.org/10.14400/JDC.2018.16.5.231

Impact of Channel Variations and Channel Estimation Errors on the Error Performance of Convolutional Coded STBC Systems  

Yun, Eunsik (Dept. of Research Center, M&D Corporation)
Kim, Sun-Hyung (Dept. of Information and Communication Engineering, Soonchunhyang University)
Park, Sangjoon (Dept. of Information and Communication Engineering, Wonkwang University)
Kang, Byeong-Gwon (Dept. of Information and Communication Engineering, Soonchunhyang University)
Publication Information
Journal of Digital Convergence / v.16, no.5, 2018 , pp. 231-237 More about this Journal
Abstract
This paper investigates the impact of the channel variations and channel estimation errors on the error performance of convolutional coded STBC systems. We consider the orthogonal Almouti STBC and the quasi-orthogonal Jafarkhani STBC, and the error performance of the convolutional coded STBC system is investigated according to the channel variation and channel estimation error via numerical simulations. Simulation results show that, if the channel variation speed is slow, time diversity effects improve the error performance compared to the static-channel cases. However, if the channel variation speed is fast, unlike ZF or MMSE detection, the conventional STBC detection has the significant performance degradation especially with the quasi-orthogonal Jafarkhani STBC. Further, the error performance of the system is significantly degraded as the channel estimation errors become stronger, regardless of the detection scheme and channel variation speed.
Keywords
STBC; Error Performance; Channel Variations; Estimation Errors; Convolutional Code;
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Times Cited By KSCI : 3  (Citation Analysis)
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