DocumentCode :
427760
Title :
On iterative decoding methods for lattice based space-time coded systems with EXIT chart analyses
Author :
Li, Yabo ; Xia, Xiang-Gen
Author_Institution :
Dept. of Electr. & Comput. Eng., Delaware Univ., Newark, DE, USA
Volume :
1
fYear :
2004
fDate :
7-10 Nov. 2004
Firstpage :
881
Abstract :
In this paper, we study iterative demodulation and decoding methods for lattice based space-time coded systems concatenated with convolutional codes. We propose two methods based on the idea of soft interference cancellation and in one method scalar Gaussian approximation is used and in the other method vector Gaussian approximation is used. We also present the EXIT chart analyses for the performance analyses for these iterative methods. Both theoretical and simulation results show that the performance of the vector Gaussian approximation method is the same as that of the linear MMSE method. The complexity of the scalar Gaussian approximation method is the lowest among the different methods and grows linearly with the transmission rate while it still has an acceptable performance. Full diversity and full rate lattice based space-time coding is compared with the V-BLAST scheme and simulations show that the former one has a better performance than the later one even with the proposed suboptimal iterative demodulation and decoding methods.
Keywords :
Gaussian distribution; concatenated codes; convolutional codes; demodulation; interference suppression; iterative decoding; lattice theory; least mean squares methods; space-time codes; EXIT chart analysis; concatenated code; convolutional code; iterative decoding method; iterative demodulation; lattice based space-time coded system; linear MMSE method; minimum mean squared error; scalar Gaussian approximation; soft interference cancellation; transmission rate; vector Gaussian approximation; Concatenated codes; Convolutional codes; Demodulation; Gaussian approximation; Interference cancellation; Iterative decoding; Iterative methods; Lattices; Performance analysis; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signals, Systems and Computers, 2004. Conference Record of the Thirty-Eighth Asilomar Conference on
Print_ISBN :
0-7803-8622-1
Type :
conf
DOI :
10.1109/ACSSC.2004.1399264
Filename :
1399264
Link To Document :
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