Lattice Reduction Aided MIMO Detection using Seysen’s Algorithm 


Vol. 34,  No. 6, pp. 642-648, Jun.  2009


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  Abstract

In this paper, we use SA (Seysen's Algorithm) instead of LLL (Lenstra-Lenstra-Lovasz) to perform LRA (Lattice Reduction-Aided) detection. By using SA, the complexity of lattice reduction is reduced and the detection performance is improved. Although the performance is improved using SA, there still exists a gap in the performance between SA-LRA and ML detection. To reduce the performance difference, we apply list of candidates scheme to SA-LRA. The list of candidates scheme finds a list of candidates. Then, the candidate with the smallest squared Euclidean distance is considered as the estimate of the transmitted signal. Simulation results show that the SA-LRA detection leads to quasi-ML performance. Moreover, the efficiency of the SA is shown to highly improve the channel matrix conditionality.

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  Cite this article

[IEEE Style]

H. An, M. Mohaisen, K. Chang, "Lattice Reduction Aided MIMO Detection using Seysen’s Algorithm," The Journal of Korean Institute of Communications and Information Sciences, vol. 34, no. 6, pp. 642-648, 2009. DOI: .

[ACM Style]

HongSun An, Manar Mohaisen, and KyungHi Chang. 2009. Lattice Reduction Aided MIMO Detection using Seysen’s Algorithm. The Journal of Korean Institute of Communications and Information Sciences, 34, 6, (2009), 642-648. DOI: .

[KICS Style]

HongSun An, Manar Mohaisen, KyungHi Chang, "Lattice Reduction Aided MIMO Detection using Seysen’s Algorithm," The Journal of Korean Institute of Communications and Information Sciences, vol. 34, no. 6, pp. 642-648, 6. 2009.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880