A Maximum Likelihood Decoding Scheme Based on Breadth-First Searching for Multi-Input Multi-Output Systems 


Vol. 32,  No. 1, pp. 34-42, Jan.  2007


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  Abstract

The sphere decoder (SD) has recently been proposed to perform maximum likelihood (ML) decoding for multi-input multi-output systems. Employing a `breadth-first' searching algorithm for closet points in a lattice, we propose a novel ML decoding scheme for multi-input multi-output systems. Simulation results show that the proposed scheme has the same bit error rate performance as the conventional ML decoders while allowing significantly lower computational burden than the SD.

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  Cite this article

[IEEE Style]

H. G. Kang, I. Song, T. An, Y. H. Kim, "A Maximum Likelihood Decoding Scheme Based on Breadth-First Searching for Multi-Input Multi-Output Systems," The Journal of Korean Institute of Communications and Information Sciences, vol. 32, no. 1, pp. 34-42, 2007. DOI: .

[ACM Style]

Hyun Gu Kang, Iickho Song, Taehun An, and Yun Hee Kim. 2007. A Maximum Likelihood Decoding Scheme Based on Breadth-First Searching for Multi-Input Multi-Output Systems. The Journal of Korean Institute of Communications and Information Sciences, 32, 1, (2007), 34-42. DOI: .

[KICS Style]

Hyun Gu Kang, Iickho Song, Taehun An, Yun Hee Kim, "A Maximum Likelihood Decoding Scheme Based on Breadth-First Searching for Multi-Input Multi-Output Systems," The Journal of Korean Institute of Communications and Information Sciences, vol. 32, no. 1, pp. 34-42, 1. 2007.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880