DocumentCode
1235996
Title
A new ML based interference cancellation technique for layered space-time codes
Author
Jung, Sungkyu ; Lee, Jungwoo
Author_Institution
Sch. of Electr. Eng., Seoul Nat. Univ., Seoul
Volume
57
Issue
4
fYear
2009
fDate
4/1/2009 12:00:00 AM
Firstpage
930
Lastpage
936
Abstract
This paper presents a new and simple decoding algorithm for layered space time block codes such as the two independent Alamouti´s codes which are also called the double space-time transmit diversity (DSTTD) system. By using group interference suppression and successive interference cancellation, we can treat DSTTD as two independent space-time block codes (STBC). We can then decode both of these STBC´s through a simple maximum likelihood (ML) detector with null space-based interference cancellation. We also compare the proposed interference cancellation (IC) scheme with the conventional MMSE IC scheme. The performance of the proposed IC scheme is comparable to that of the MMSE IC scheme while the complexity reduction factor of the proposed scheme can be up to 5 compared to the MMSE IC scheme.
Keywords
block codes; computational complexity; decoding; diversity reception; interference suppression; maximum likelihood detection; space-time codes; ML based interference cancellation technique; MMSE IC scheme; complexity reduction factor; decoding algorithm; double space-time transmit diversity system; group interference suppression; independent Alamouti codes; layered space-time block codes; maximum likelihood detector; minimum mean square estimation; space-based interference cancellation; successive interference cancellation; Block codes; Detectors; Diversity methods; Interference cancellation; Interference suppression; MIMO; Maximum likelihood decoding; Maximum likelihood detection; Space time codes; Transmitting antennas; Space-time codes, interference cancellation, STBC;
fLanguage
English
Journal_Title
Communications, IEEE Transactions on
Publisher
ieee
ISSN
0090-6778
Type
jour
DOI
10.1109/TCOMM.2009.04.070079
Filename
4814358
Link To Document