Adaptive blind sequence detection for time varying channel

Author

Patwary, Mohammad N. ; Rapajic, Predrag ; Shao, Xun ; Oppermann, Ian

Author_Institution

Sch. of ELectrical Eng. & Telecommun., New South Wales Univ., Sydney, NSW, Australia

Volume

6

fYear

2003

fDate

1-5 Dec. 2003

Firstpage

3376

Abstract

In rapidly time varying channels, the channel impulse response estimation might not be successful by the conventional decision directed scheme following the supervised training. The blind sequence detection would be the only solution in these scenarios. In this paper we proposed a new blind sequence detection algorithm, which has a significant robustness against bit ambiguity and whose performance with uncoded sequence is better than that of some existing blind algorithms with coded systems. Bit error performances have been investigated by computer simulation and compared with coded system. A significant gain has been achieved in SNR as much as 6 dB or more.

Keywords

adaptive signal detection; blind equalisers; channel estimation; error statistics; maximum likelihood detection; time-varying channels; SNR; adaptive blind sequence detection; bit ambiguity; bit error performances; blind equalization; channel impulse response estimation; computer simulation; maximum likelihood; persurvivor processing; supervised training; time varying channel; uncoded sequence; Australia; Bit error rate; Computer errors; Computer simulation; Detection algorithms; Iterative algorithms; Maximum likelihood detection; Robustness; Signal to noise ratio; Viterbi algorithm;

fLanguage

English

Publisher

ieee

Conference_Titel

Global Telecommunications Conference, 2003. GLOBECOM '03. IEEE

Print_ISBN

0-7803-7974-8

Type

conf

DOI

10.1109/GLOCOM.2003.1258861

Filename

1258861