Title :
A new low complexity optimal decoding method for MIMO systems
Author :
Maddah-Ali, Mohammad Ali ; Khandani, Amir K. ; Tong, Wen
Author_Institution :
Dept. of Electr. & Comput. Eng., Waterloo Univ., Ont., Canada
Abstract :
A method is proposed to reduce the complexity of ML decoding for MIMO systems based on a PSK constellation with two transmit antennas. We use the feature that the points of a PSK constellation form a finite group under complex multiplication to reduce substantially the decoding complexity. The proposed method of decoding is used for both BLAST systems and a new full-rate full-diversity space-time code. The proposed space-time code offers a high coding advantage and at the same time allows for a simple decoding algorithm.
Keywords :
MIMO systems; block codes; computational complexity; data communication; diversity reception; matrix algebra; maximum likelihood decoding; phase shift keying; space-time codes; transmitting antennas; BLAST systems; MIMO systems; ML decoding; PSK constellation; block code; complex multiplication; data communication; finite group; full-diversity space-time code; full-rate space-time code; low complexity decoding method; matrices; optimal decoding method; transmit antennas; wireless communication; Costs; Decoding; MIMO; Phase shift keying; Quadrature amplitude modulation; Receiving antennas; Signal to noise ratio; Space time codes; Transmitting antennas; Wireless communication;
Conference_Titel :
Vehicular Technology Conference, 2003. VTC 2003-Fall. 2003 IEEE 58th
Print_ISBN :
0-7803-7954-3
DOI :
10.1109/VETECF.2003.1285053
