Title :
An MIMO-CDMA Detection Method via Sphere Decoding and Zero Forcing Algorithm
Author_Institution :
Sch. of Electron., Jiangxi Univ. of Finance & Econ., Nanchang, China
Abstract :
The multiple input multiple output code division multiple access systems can get good performance or high capacity, but the computational complexity of detection is usually high. Although, by way of sphere-constrained searching, sphere decoding algorithm and some other methods are able to greatly decrease the detection complexity as compared with that of maximum likelihood algorithm. In order to further decrease the decoding complexity, a new detection algorithm which is based on both sphere decoding method and zero forcing algorithm is put forward. The combinational detector decodes according to the signal-noise-ratio. When the signal-noise-ratio is high enough, it simply outputs the zero forcing detection results, which leads to a faster detecting process. Some simulation results show that the performance of such combinational algorithm has little difference as compared with that of sphere decoding algorithm.
Keywords :
MIMO communication; code division multiple access; decoding; MIMO-CDMA detection; code division multiple access system; multiple input multiple output; signal-noise-ratio; sphere decoding; sphere-constrained searching; zero forcing algorithm; Computational complexity; Detection algorithms; Detectors; Fading; MIMO; Maximum likelihood decoding; Maximum likelihood detection; Multiaccess communication; Receiving antennas; Transmitting antennas; CDMA; MIMO; signal-noise-ratio; sphere decoding;
Conference_Titel :
Information Technology and Computer Science, 2009. ITCS 2009. International Conference on
Conference_Location :
Kiev
Print_ISBN :
978-0-7695-3688-0
DOI :
10.1109/ITCS.2009.181