DocumentCode :
3310355
Title :
Linear computational complexity decoding for semi orthogonal full rate space time codes
Author :
Laufer, Amir ; Bar-Ness, Yeheskel
Author_Institution :
Center of Wireless Commun. & Signal Process. Res., New Jersey Inst. of Technol., Newark, NJ, USA
fYear :
2011
fDate :
28-31 March 2011
Firstpage :
1534
Lastpage :
1539
Abstract :
Communication with low complexity decoding is an important attribute for many applications. From low cost, distributed sensors arrays with desirably long operative life to ultra smart handheld battery operated devices, low complexity decoding results in better power consumption and simpler hardware implementation. In this paper a linear decoding complexity is applied and analyzed to the semi-orthogonal space time codes which are rate 1 codes originated from a regular orthogonal space time codes. The proposed transmission and decoding schemes are very appealing in the sense that they improve the code rate of the orthogonal codes family, yet, maintain its simple, symbol by symbol decoding with no filter calculation complexity overhead. In addition, a performance boosting modifications are suggested and investigated for the basic transmission and decoding schemes under different system settings such as the availability of limited feedback and multiple receiving antennas.
Keywords :
antennas; computational complexity; orthogonal codes; space-time codes; wireless sensor networks; distributed sensors array; limited feedback; linear computational complexity decoding; multiple receiving antenna; performance boosting modification; semi orthogonal full rate space time code; smart handheld battery operated device; Complexity theory; Maximum likelihood decoding; Receiving antennas; Signal to noise ratio; Transmitters; Decoding Complexity; Diversity; Full rate; Space time codes;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless Communications and Networking Conference (WCNC), 2011 IEEE
Conference_Location :
Cancun, Quintana Roo
ISSN :
1525-3511
Print_ISBN :
978-1-61284-255-4
Type :
conf
DOI :
10.1109/WCNC.2011.5779358
Filename :
5779358
Link To Document :
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