Title :
A robust adaptive parallel DFE using extended LMS
Author :
Gatherer, Alan ; Meng, Teresa HY
Author_Institution :
Inf. Syst. Lab., Stanford Univ., CA, USA
fDate :
2/1/1993 12:00:00 AM
Abstract :
A parallel LMS-ADFE (least mean square-adaptive decision feedback equalization) scheme that allows the ADFE to adapt at every data point in parallel, so that local channel variation can be accurately tracked at a rate independent of hardware speeds, is proposed. Simulations show that this scheme displays tracking capability similar to that of the serial ADFE. Furthermore, the proposed ADFE algorithm can be parallelized with complexity linearly related to speedup
Keywords :
equalisers; feedback; least squares approximations; ADFE; adaptive decision feedback equaliser; adaptive parallel DFE; extended LMS; least mean squares; local channel variation; parallel architecture; simulations; tracking; Bandwidth; Decision feedback equalizers; Displays; Filters; Hardware; Intersymbol interference; Least squares approximation; Performance gain; Robustness; Throughput;
Journal_Title :
Signal Processing, IEEE Transactions on
