Pre-processed recursive lattice reduction for complexity reduction in spatially and temporally correlated MIMO channels

Chan Ho An, Janghoon Yang, Seunghun Jang, Dong Ku Kim

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)


In this letter, a pre-processed lattice reduction (PLR) scheme is developed for the lattice reduction aided (LRA) detection of multiple input multiple-output (MIMO) systems in spatially correlated channel. The PLR computes the LLL-reduced matrix of the equivalent matrix, which is the product of the present channel matrix and unimodular transformation matrix for LR of spatial correlation matrix, rather than the present channel matrix itself. In conjunction with PLR followed by recursive lattice reduction (RLR) scheme [7], pre-processed RLR (PRLR) is shown to efficiently carry out the LR of the channel matrix, especially for the burst packet message in spatially and temporally correlated channel while matching the performance of conventional LRA detection.

Original languageEnglish
Pages (from-to)1392-1396
Number of pages5
JournalIEICE Transactions on Communications
Issue number4
Publication statusPublished - 2009 Apr

All Science Journal Classification (ASJC) codes

  • Software
  • Computer Networks and Communications
  • Electrical and Electronic Engineering

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