Abstract
A new joint algorithm is proposed to resolve the contradiction between algorithm complexity and performance in multiple input multiple output-orthogonal frequency division multiplexing (MIMO-OFDM) system. Using the hierarchical structure of the MIMO-OFDM systems, channel estimation and signal detection are alternately performed iteratively. Firstly, to reduce the complexity of channel estimation algorithm, an improved minimum mean squared error (MMSE) channel estimation algorithm is proposed. Then, zero force-successive interference cancellation (ZF-SIC) and MMSE-SIC are used in the joint algorithm as signal detection algorithms. Simulation results show that the new algorithm can obtain good BER performance under single path QPSK and single path 16 QAM simulation conditions. Compared with the existing joint algorithms, the new algorithm can make full use of system’s space resources and ensure the requirements of algorithm complexity and system performance.
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Acknowledgment
This study is supported by grants from the National Natural Science Foundation of China (Grants No. 51375385, 51675425), 111 Project (B08038).
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© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Wei, J., Feng, S., Wang, L. (2018). Joint Algorithm for MIMO-OFDM System Based on the Idea of Layered Iteration. In: Li, B., Shu, L., Zeng, D. (eds) Communications and Networking. ChinaCom 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 236. Springer, Cham. https://doi.org/10.1007/978-3-319-78130-3_12
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DOI: https://doi.org/10.1007/978-3-319-78130-3_12
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