Title :
A Sphere Decoding Algorithm for MIMO Channels
Author :
Hung, Chin-Yun ; Sang, Tzu-Hsien
Author_Institution :
Dept. of Electron. Eng., Nat. Chiao Tung Univ., Hsinchu
Abstract :
Multi-input multi-output (MIMO) transmission has become a popular technique to increase spectral efficiency. Meanwhile, the design of cost-effective receivers for MIMO channels remains a challenging task. Maximum-likelihood (ML) detector can achieve superb performance, yet the computational complexity is enormously high. Receivers based on sphere decoding (SD) reach the performance of ML detectors, and potentially a great deal of computational cost can be saved. In this paper, a practical sphere-decoding algorithm is proposed. It utilizes a simple and effective way to set the initial radius which plays a decisive role in determining the computational complexity. Furthermore, a pseudo-antenna augmentation scheme is employed such that SD can be applied where the number of receive antennas is less than that of transmit antennas; thus enhance the applicability of this powerful algorithm
Keywords :
MIMO communication; antenna arrays; computational complexity; decoding; maximum likelihood detection; wireless channels; MIMO channels; computational complexity; maximum-likelihood detector; multi-input multi-output transmission; pseudo-antenna augmentation scheme; receive antennas; spectral efficiency; sphere decoding algorithm; transmit antennas; Computational complexity; Computational efficiency; Detectors; Interference cancellation; MIMO; Maximum likelihood decoding; Maximum likelihood detection; Receiving antennas; Signal processing algorithms; Transmitting antennas;
Conference_Titel :
Signal Processing and Information Technology, 2006 IEEE International Symposium on
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-9753-3
Electronic_ISBN :
0-7803-9754-1
DOI :
10.1109/ISSPIT.2006.270853