Title :
Closed form expression of EMSE for Bussgang equalization with spatio-temporal diversity
Author :
Touzni, A. ; Endres, T.J. ; Casas, R.A. ; Strolle, C.H.
Author_Institution :
Nxtwave. Commun. Inc, Langhorne, PA, USA
Abstract :
Bussgang algorithms are a class of simple stochastic gradient type solutions for blind channel equalization. We investigate the degradation of performance in the source estimation resulting from the stochastic jitter around stationary points of Bussgang algorithms (which correspond to the equalizers of the channel). More precisely, we derive a closed form approximation of the excess mean square error (EMSE) defined as the variance of the jitter which depends on the effects of the channel characteristics, the source distribution and the non-linearity used in the update equation. The analysis is performed in a context of spatiotemporal channel diversity involving a single-input/multiple outputs data model
Keywords :
adaptive equalisers; blind equalisers; digital radio; diversity reception; gradient methods; mean square error methods; parameter estimation; radio receivers; stochastic processes; telecommunication channels; Bussgang algorithms; Bussgang equalization; adaptive equalizers; blind channel equalization; channel characteristics; closed form expression; excess mean square error; radio receivers; single-input multiple outputs data model; source estimation; spatio-temporal channel diversity; stochastic gradient solutions; stochastic jitter; update equation; wireless digital communications; Adaptive equalizers; Blind equalizers; Data models; Delay estimation; Digital communication; Jitter; Maximum likelihood estimation; Mean square error methods; Stochastic processes; Vectors;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2001. Proceedings. (ICASSP '01). 2001 IEEE International Conference on
Conference_Location :
Salt Lake City, UT
Print_ISBN :
0-7803-7041-4
DOI :
10.1109/ICASSP.2001.940404