Title :
Algebraic Reduction for the Golden Code
Author :
Othman, G.R.-B. ; 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 times 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 :
algebraic codes; channel coding; decision feedback equalisers; decoding; diversity reception; least mean squares methods; matrix algebra; signal detection; space-time codes; wireless channels; MMSE-GDFE left preprocessing; algebraic reduction; algebraic space-time code; channel matrix; code algebra; decoding; golden code; minimum mean squared error generalized decision feedback equalization; multiplicative structure; receive diversity; right preprocessing method; zero-forcing detection; Algebra; Communications Society; Decision feedback equalizers; Fading; Lattices; MIMO; Maximum likelihood decoding; Quaternions; Space time codes; Telecommunications;
Conference_Titel :
Communications, 2009. ICC '09. IEEE International Conference on
Conference_Location :
Dresden
Print_ISBN :
978-1-4244-3435-0
Electronic_ISBN :
1938-1883
DOI :
10.1109/ICC.2009.5198713