Improved linear soft-input soft-output detection via soft feedback successive interference cancellation

  • Authors:
  • Jun Won Choi;Andrew C. Singer;Jungwoo Lee;Nam Ik Cho

  • Affiliations:
  • Coordinated Science Laboratory, University of Illinois at Urbana-Champaign, Urbana, IL;Coordinated Science Laboratory, University of Illinois at Urbana-Champaign, Urbana, IL;ECE Dept., Seoul National Univ., Seoul, Korea;ECE Dept., Seoul National Univ., Seoul, Korea

  • Venue:
  • IEEE Transactions on Communications
  • Year:
  • 2010

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Abstract

We propose an improved minimum mean square error (MMSE) vertical Bell Labs layered space-time (V-BLAST) detection technique, called a soft input, soft output, and soft feedback (SIOF) V-BLAST detector, for turbo multi-input multi-output (Turbo-MIMO) systems. We derive a symbol estimator by minimizing the power of the interference plus noise, given a priori probabilities of undetected layer symbols and a posteriori probabilities for past detected layer symbols. For a low-complexity implementation, an approximate SIOF algorithm is presented, which allows for a time-invariant realization of the symbol ordering and an MMSE filtering process. Another implementation, referred to as the iterative SIOF algorithm is introduced, which decides on symbol detection order based on a posteriori symbol probabilities to improve the detection performance. Simulations performed on a space-time bit-interleaved coded modulation (STBICM) architecture over quasi-static MIMO fading channels demonstrate that the SIOF V-BLAST detector provides performance gains over previous Turbo-BLAST detectors, most notably when more transmit antennas are used.