Fano detection algorithm for MIMO systems

Author

Pham, Vu Toan ; Lei, Zhongding ; Tjhung, T.T.

Author_Institution

Nat. Univ. of Singapore, Singapore

fYear

2007

fDate

10-13 Dec. 2007

Firstpage

1

Lastpage

5

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/ICICS.2007.4449576

Filename

4449576