Lattice reduction aided detection with reduced complexity for time-correlated MIMO channel

Chan Ho An, Janghoon Yang, Seung Hoon Jang, Dong Ku Kim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

In this paper, lattice reduction (LR) aided detection with reduced complexity is developed for the detection of the multiple-input multiple-output (MEMO) systems in timecorrelated channel. The proposed scheme computes the LLL-reduced channel matrix at the present time by using the present channel matrix multiplied with the unimodular transformation matrix of the previous symbol time as the initial value of LLL reduction algorithm. Simulation results show that the proposed scheme can achieve the same performance with significantly reduced complexity. Implementation of the proposed scheme with fixed number of iteration for limited complexity in practical system provides the almost same performance as conventional scheme.

Original languageEnglish
Title of host publicationConference Record of the 41st Asilomar Conference on Signals, Systems and Computers, ACSSC
Pages1554-1558
Number of pages5
DOIs
Publication statusPublished - 2007 Dec 1
Event41st Asilomar Conference on Signals, Systems and Computers, ACSSC - Pacific Grove, CA, United States
Duration: 2007 Nov 42007 Nov 7

Publication series

NameConference Record - Asilomar Conference on Signals, Systems and Computers
ISSN (Print)1058-6393

Other

Other41st Asilomar Conference on Signals, Systems and Computers, ACSSC
CountryUnited States
CityPacific Grove, CA
Period07/11/407/11/7

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All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Computer Networks and Communications

Cite this

An, C. H., Yang, J., Jang, S. H., & Kim, D. K. (2007). Lattice reduction aided detection with reduced complexity for time-correlated MIMO channel. In Conference Record of the 41st Asilomar Conference on Signals, Systems and Computers, ACSSC (pp. 1554-1558). [4487491] (Conference Record - Asilomar Conference on Signals, Systems and Computers). https://doi.org/10.1109/ACSSC.2007.4487491