Title :
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
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;
Conference_Titel :
Global Telecommunications Conference, 2003. GLOBECOM '03. IEEE
Print_ISBN :
0-7803-7974-8
DOI :
10.1109/GLOCOM.2003.1258861