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

Jun Won Choi, Andrew Carl Singer, Jungwoo Lee, Nam Ik Cho

Research output: Contribution to journalArticlepeer-review


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 multioutput (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.

Original languageEnglish (US)
Article number5426531
Pages (from-to)986-996
Number of pages11
JournalIEEE Transactions on Communications
Issue number3
StatePublished - Mar 1 2010


  • Iterative detection and decoding
  • MIMO
  • MMSE
  • SISO
  • Soft feedback
  • Turbo

ASJC Scopus subject areas

  • Electrical and Electronic Engineering


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