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Iterative frequency domain equalization with generalized approximate message passing

Journal Article


Abstract


  • An iterative frequency domain equalization approach for coded single-carrier block transmissions over frequency selective channels is developed by using the recently proposed generalized approximate message passing (GAMP) algorithm. Compared with the low-complexity iterative frequency domain linear minimum mean square error (FD-LMMSE) equalization, the proposed approach can achieve significant performance gain with slight complexity increase.

Publication Date


  • 2013

Citation


  • Q. Guo, D. Huang, S. Nordholm, J. Xi & Y. Yu, "Iterative frequency domain equalization with generalized approximate message passing," IEEE Signal Processing Letters, vol. 20, (6) pp. 559-562, 2013.

Scopus Eid


  • 2-s2.0-84876815011

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers/777

Has Global Citation Frequency


Number Of Pages


  • 3

Start Page


  • 559

End Page


  • 562

Volume


  • 20

Issue


  • 6

Place Of Publication


  • United States

Abstract


  • An iterative frequency domain equalization approach for coded single-carrier block transmissions over frequency selective channels is developed by using the recently proposed generalized approximate message passing (GAMP) algorithm. Compared with the low-complexity iterative frequency domain linear minimum mean square error (FD-LMMSE) equalization, the proposed approach can achieve significant performance gain with slight complexity increase.

Publication Date


  • 2013

Citation


  • Q. Guo, D. Huang, S. Nordholm, J. Xi & Y. Yu, "Iterative frequency domain equalization with generalized approximate message passing," IEEE Signal Processing Letters, vol. 20, (6) pp. 559-562, 2013.

Scopus Eid


  • 2-s2.0-84876815011

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers/777

Has Global Citation Frequency


Number Of Pages


  • 3

Start Page


  • 559

End Page


  • 562

Volume


  • 20

Issue


  • 6

Place Of Publication


  • United States