Title :
Algebraic reduction for the Golden Code
Author :
Othman, Ghaya Rekaya-Ben ; Luzzi, Laura ; Belfiore, Jean-Claude
Author_Institution :
TELECOM ParisTech, Paris, France
Abstract :
In this paper we introduce a new right preprocessing method for the decoding of 2 × 2 algebraic space-time codes, called algebraic reduction, which exploits the multiplicative structure of the code. The principle of the new reduction is to absorb part of the channel into the code, by approximating the channel matrix with an element of the maximal order of the code algebra. We prove that algebraic reduction attains the receive diversity when followed by a simple zero-forcing (ZF) detection. Simulation results for the Golden Code show that using minimum mean squared error generalized decision feedback equalization (MMSE-GDFE left preprocessing), algebraic reduction with simple ZF detection has a loss of only 3 dB with respect to optimal decoding.
Keywords :
Gold codes; algebraic codes; channel coding; decoding; least mean squares methods; matrix algebra; space-time codes; MMSE GDFE left preprocessing; ZF detection; algebraic reduction; algebraic space time codes; channel matrix; decoding; generalized decision feedback equalization; golden code; minimum mean square error; right preprocessing; zero forcing detection; Algebra; Decision feedback equalizers; Fading; Lattices; MIMO; Maximum likelihood decoding; Maximum likelihood detection; Quaternions; Space time codes; Telecommunications; Algebraic reduction; Golden Code; decoding; right preprocessing; space-time codes;
Conference_Titel :
Information Theory (ITW 2010, Cairo), 2010 IEEE Information Theory Workshop on
Conference_Location :
Cairo
Print_ISBN :
978-1-4244-6372-5
DOI :
10.1109/ITWKSPS.2010.5503187