Robust semi-definite relaxation MIMO detection in a non-gaussian channel

Jakob Vovnoboy, Ami Wiesel, Wing Kin Ma

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Semi-definite relaxation (SDR) is a popular technique for Multi-Input Multi-Output (MIMO) detection. For Binary Phase-Shift Keying (BPSK) and Quadratic Phase-Shift Keying (QPSK), it has been found that SDR can provide a near-optimal Bit Error rate (BER) performance in a Gaussian channel. However if the noise in the channel deviates from the Gaussian model, as it does in many real wireless channels, BER performance drops considerably. In this paper we show that SDR can be applied for detection in a non-Gaussian channel using Huber's M-estimation method for robust regression.

Original languageAmerican English
Title of host publication2013 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013 - Proceedings
Pages5494-5498
Number of pages5
DOIs
StatePublished - 18 Oct 2013
Event2013 38th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013 - Vancouver, BC, Canada
Duration: 26 May 201331 May 2013

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Conference

Conference2013 38th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013
Country/TerritoryCanada
CityVancouver, BC
Period26/05/1331/05/13

All Science Journal Classification (ASJC) codes

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

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