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A novel low complexity lattice reduction algorithm for MIMO detection

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Abstract

A new low complexity lattice reduction algorithm was proposed, namely, the sorted integer Gauss transformation (SIGT). The SIGT algorithm can be interpreted as minimizing the longest basis vector first and assure that there was no integer projection between any two basis vectors. By applying simulation over Rayleigh fading channels, it was demonstrated that the proposed SIGT algorithm can have almost the same bit error rate (BER) performance as the LLL algorithm, while the SIGT algorithm requires only about half iteration as the LLL algorithm and the running time of each iteration for both algorithms were similar to each other. It is concluded that the SIGT algorithm can achieve almost the bit error rate (BER) performance, while the SIGT requires fewer iterations than the LLL.

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Acknowledgements

The authors would like to express appreciation to the anonymous reviewers for their helpful comments. This paper was supported in part by Capability Improvement Project of Zhangjiang Administrative Committee of Shanghai Municipality (No. 2016-14), and in part by Science and Technology Commission of Shanghai Municipality (No. 16511104204).

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Authors and Affiliations

  1. Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai, China

    Jie Tang & Xin Bian

  2. University of Chinese Academy of Sciences, Beijing, China

    Jie Tang

  3. ShanghaiTech University, Shanghai, China

    Jie Tang

  4. Nanjing University of Posts and Telecommunications, Nanjing, China

    Xin Bian

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  1. Jie Tang
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  2. Xin Bian
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Correspondence to Jie Tang.

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Tang, J., Bian, X. A novel low complexity lattice reduction algorithm for MIMO detection. Cluster Comput 22 (Suppl 6), 13995–14001 (2019). https://doi.org/10.1007/s10586-018-2167-2

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