Title :
Fano detection algorithm for MIMO systems
Author :
Pham, Vu Toan ; Lei, Zhongding ; Tjhung, T.T.
Author_Institution :
Nat. Univ. of Singapore, Singapore
Abstract :
Theoretical and experimental studies have shown the remarkable capacity and spectral efficiency of V-BLAST. In this paper, we study Fano detection algorithm for the V-BLAST system, which uses QR decomposition of the channel matrix and is based on depth-first tree search. Simulation results show that the performance is comparable to that of ML detector in the cases of QPSK and 16-QAM. Although the Fano algorithm is less complex than the ML algorithm, its complexity is still rather high. This complexity can be reduced at the expense of a degradation of the BER performance.
Keywords :
MIMO communication; error statistics; quadrature phase shift keying; BER; Fano detection algorithm; MIMO systems; QPSK; QR decomposition; V-BLAST; channel matrix; depth-first tree search; Bit error rate; Detection algorithms; Integrated circuit modeling; MIMO; Matrix decomposition; Maximum likelihood decoding; Maximum likelihood detection; Quadrature phase shift keying; Receiving antennas; Transmitting antennas; 16QAM; Fano Algorithm; MIMO; QPSK; V-BLAST;
Conference_Titel :
Information, Communications & Signal Processing, 2007 6th International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-0982-2
Electronic_ISBN :
978-1-4244-0983-9
DOI :
10.1109/ICICS.2007.4449576
