J4 ›› 2012, Vol. 39 ›› Issue (1): 11-16+22.doi: 10.3969/j.issn.1001-2400.2012.01.003

• Original Articles • Previous Articles     Next Articles

Lattice-reduction-aided detection in spatial correlated MIMO channels

LI Jiandong;CHEN Rui;LI Changle;LIU Wei;CHEN Dan   

  1. (State Key Lab. of Integrated Service Networks, Xidian Univ., Xi'an  710071, China)
  • Received:2010-11-13 Online:2012-02-20 Published:2012-04-06
  • Contact: LI Jiandong E-mail:jdli@mail.xidian.edu.cn
  • Supported by:

    李建东(1962-),男,教授,E-mail: jdli@mail.xidian.edu.cn

Abstract:

To overcome the drawback that the diversity order of the traditional linear MMSE detection algorithm decreases with the increase of the correlation coefficient, a lattice-reduction-aided MMSE (LRA-MMSE) detection algorithm is proposed for spatial correlated MIMO channels. The LRA-MMSE detection algorithm considers the effect of spatial correlation in the algorithm design and takes advantage of the complex Lenstra-Lenstra-Lovász (LLL) algorithm so that its BER (bit error rate) is several orders of magnitude smaller than that of the traditional linear MMSE detection at a high SNR (signal to noise ratio). Theoretical analysis and simulation results show that with QPSK modulation and the MMSE channel estimator at the receiver, the uncoded BER of the LRA-MMSE detector is lower than that of the traditional linear MMSE detector if the bit SNR (Eb/N0) is greater than 18dB, while the coded BER of the LRA-MMSE detector is lower than that of the traditional linear MMSE detector if Eb/N0 is greater than 16dB when (2,1,3) convolutional channel coding and Viterbi decoding are adopted under the Kronecker correlated flat fading channel. Furthermore, the diversity order of the LRA-MMSE detector in the correlated MIMO channel is equal to the number of the receive antenna N.

Key words: multiple input multiple output, spatial correlated channel, lattice reduction, signal detection


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