Title :
Iterative detection of linear-dispersion codes
Author_Institution :
Inst. for Commun. Eng., Munich Univ. of Technol.
Abstract :
In this article we present how iterative linear detection can be applied to a multiple input multiple output (MIMO) system with linear-dispersion (LD) codes. The LD codes are space-time (ST) mappings that maximize the mutual information between the transmitted and received signal. They consider the data symbols as well as their complex conjugates and thus require two complex minimum mean squared error (MMSE) filters for linear detection known as widely linear (WL) filters. We determine different LD codes and show that the overall performance of the system can be significantly improved over standard approaches
Keywords :
MIMO systems; filtering theory; least mean squares methods; linear codes; signal detection; space-time codes; MIMO system; MMSE; data symbol; iterative detection; linear detection; linear filter; linear-dispersion code; minimum mean squared error filter; multiple input multiple output; signal reception; signal transmission; space-time mapping; Channel capacity; Code standards; Detectors; Interference suppression; MIMO; Mutual information; Nonlinear filters; Receiving antennas; Signal mapping; Space technology;
Conference_Titel :
Smart Antennas, 2004. ITG Workshop on
Conference_Location :
Munich
Print_ISBN :
0-7803-8327-3
DOI :
10.1109/WSA.2004.1407648
