Title :
Adaptive channel equalisation with the multirate optimising order statistics equaliser (MOOSE)
Author :
Dubossarsky, Eugene ; Reisenfeld, Sam ; Osborn, Thomas R.
Author_Institution :
Univ. of Technol., Sydney, NSW, Australia
Abstract :
In this paper a number of filters are applied to the problem of equalisation in impulsive noise. The multirate optimising order statistics equaliser (MOOSE) is shown to be far superior to FIR and L1-filters in comparisons of bit error rate performance over a range of additive noise types and signal to noise ratios. MOOSE is also shown to be significantly faster, and much smaller in its number of parameters and robust with respect to sudden variations in the channel statistics
Keywords :
adaptive equalisers; digital filters; error statistics; impulse noise; interference suppression; adaptive channel equalisation; additive noise types; bit error rate performance; channel statistics; impulsive noise; multirate optimising order statistics equaliser; signal to noise ratios; Adaptive equalizers; Adaptive filters; Bit error rate; Filtering; Finite impulse response filter; Noise reduction; Noise robustness; Sampling methods; Signal processing; Statistics;
Conference_Titel :
Global Telecommunications Conference, 1998. GLOBECOM 1998. The Bridge to Global Integration. IEEE
Conference_Location :
Sydney,NSW
Print_ISBN :
0-7803-4984-9
DOI :
10.1109/GLOCOM.1998.775852
