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A Throughput Enhanced JTIDS Waveform Design Read chapter Read first chapter

2018 | OriginalPaper | Chapter

Joint Algorithm for MIMO-OFDM System Based on the Idea of Layered Iteration

Authors : Juan Wei, Shixuan Feng, Lihong Wang

Published in: Communications and Networking

Publisher: Springer International Publishing

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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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Metadata
Title
Joint Algorithm for MIMO-OFDM System Based on the Idea of Layered Iteration
Authors
Juan Wei
Shixuan Feng
Lihong Wang
Copyright Year
2018
Publisher
Springer International Publishing
Book
Communications and Networking

Print ISBN: 978-3-319-78129-7

Electronic ISBN: 978-3-319-78130-3

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-3-319-78130-3_12

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